CN111803105B - Data processing method, device, system and computer equipment for CT correction - Google Patents

Abstract

The application relates to a CT correction data processing method, device, system and computer equipment. The method comprises the following steps: acquiring a plurality of groups of scanning parameters and parameter information corresponding to each group of scanning parameters; the parameter information comprises scanning conditions and pipeline information of a data processing pipeline which is correspondingly called; controlling a scanning device to sequentially perform CT scanning according to scanning conditions corresponding to each group of scanning parameters to obtain a plurality of groups of scanning raw data; in the scanning process, determining target pipeline information according to target scanning parameters corresponding to the obtained target scanning raw data, and calling a target data processing pipeline to perform data processing according to the target pipeline information to obtain a target correction table corresponding to the target scanning parameters. By adopting the method, the CT correction efficiency can be improved.

Description

Data processing method, device, system and computer equipment for CT correction

technical field

The present application relates to the technical field of computerized tomography, in particular to a data processing method, device, system and computer equipment for CT correction.

Background technique

CT (Computed Tomography), that is, electronic computer tomography, uses a precisely collimated X-ray beam and a highly sensitive detector to scan a certain part of the human body one by one. Because CT equipment has the characteristics of fast scanning time and clear images, it is widely used in the clinical diagnosis of various diseases.

In related technologies, on the CT imaging link, there will be mechanical installation process errors such as tubes, collimators, and detectors, and there will also be errors in the physical factors of these key components themselves. The performance of these errors on imaging is some artifacts such as rings, bands, and stripes, which will affect the diagnosis and cause misdiagnosis. Therefore, in the CT imaging link, it is necessary to remove these artifacts, that is, perform CT correction. CT equipment usually performs a cross-sectional scan, corrects the raw data collected by the scan, and performs data reconstruction processing according to the corrected data; after that, the CT equipment performs a second cross-sectional scan, and the collected data from the second scan The raw data are corrected, and the data reconstruction process is carried out according to the corrected data.

However, due to the long correction time of some data, the CT correction efficiency is low.

Contents of the invention

Based on this, it is necessary to provide a data processing method, device, system and computer equipment for CT correction capable of improving the efficiency of CT correction in view of the above technical problems.

A data processing method for CT correction, the method comprising:

Obtain multiple sets of scan parameters and parameter information corresponding to each set of scan parameters; the parameter information includes scan conditions and pipeline information of the correspondingly invoked data processing pipeline;

Control the scanning device to perform CT scanning sequentially according to the scanning conditions corresponding to each set of scanning parameters, and obtain multiple sets of scanning raw data;

In the scanning process, each time a set of scanning raw data is obtained, the target pipeline information is determined according to the target scanning parameters corresponding to the obtained target scanning raw data, and the target data processing pipeline is called for data processing according to the target pipeline information, and the corresponding target scanning parameters are obtained. target correction table.

In one of the embodiments, the above-mentioned pipeline information includes the data processing queue to which the data processing pipeline belongs; the above-mentioned target pipeline information is determined according to the target scan parameters corresponding to the obtained target scan raw data, and the target data processing pipeline is called to perform data processing according to the target pipeline information. Processing to obtain the target calibration table corresponding to the target scanning parameters, including:

Determine the target data processing queue to which the data processing pipeline belongs according to the target scanning parameters corresponding to the target scanning raw data;

Detecting the target data processing queue, and using the idle data processing pipeline in the target data processing queue as the target data processing pipeline;

The target data processing pipeline is called for data processing, and the target correction table corresponding to the target scanning parameters is obtained.

In one of the embodiments, the above parameter information also includes reconstruction conditions; the above call target data processing pipeline for data processing, and obtain the target calibration table corresponding to the target scanning parameters, including:

The target data processing pipeline is called to perform data correction processing on the target scanning raw data, and perform data reconstruction processing according to the processed data and reconstruction conditions, and obtain the target correction table corresponding to the target scanning parameters.

In one embodiment, the above parameter information also includes reconstruction conditions; the above target data processing pipeline includes at least a first sub-data processing pipeline and a second sub-data processing pipeline, and the target data processing pipeline is called to perform data processing to obtain the corresponding The target correction table, including:

Invoking the first sub-data processing pipeline to perform data correction processing on the target scanning raw data, and performing data reconstruction processing according to the processed data and reconstruction conditions, to obtain intermediate results;

Call the second sub-data processing pipeline to perform data correction processing on the intermediate results, and perform data reconstruction processing according to the processed data and reconstruction conditions, and obtain a target correction table corresponding to the target scanning parameters.

In one of the embodiments, after the above-mentioned intermediate results are obtained, the method further includes:

Store the intermediate results in the preset storage space;

Correspondingly, before calling the second sub-data processing pipeline to perform data correction processing on the intermediate results, the method further includes:

If it is detected that the second sub-data processing pipeline is idle, an intermediate result is obtained from a preset storage space.

In one embodiment, the method also includes:

Receive pipeline configuration information; pipeline configuration information includes pipeline identification, pipeline quantity and available computing resources;

According to the number of pipelines and available computing resources, allocate corresponding computing resources to the data processing pipeline corresponding to the pipeline identifier.

A data processing device for CT correction, the device comprising:

A parameter acquisition module, configured to acquire multiple sets of scan parameters and parameter information corresponding to each set of scan parameters; the parameter information includes scan conditions and pipeline information of correspondingly called data processing pipelines;

The scanning control module is used to control the scanning equipment to perform CT scanning sequentially according to the scanning conditions corresponding to each group of scanning parameters, so as to obtain multiple sets of scanning raw data;

The data processing module is used to determine the target pipeline information according to the target scanning parameters corresponding to the obtained target scanning raw data every time a set of scanning raw data is obtained during the scanning process, and call the target data processing pipeline for data processing according to the target pipeline information , to obtain the target calibration table corresponding to the target scanning parameters.

In one of the embodiments, the above pipeline information includes the data processing queue to which the data processing pipeline belongs;

The above data processing module is specifically used to determine the target data processing queue to which the data processing pipeline belongs according to the target scanning parameters corresponding to the target scanning raw data; As a target data processing pipeline; call the target data processing pipeline for data processing, and obtain the target correction table corresponding to the target scanning parameters.

In one of the embodiments, the above parameter information also includes reconstruction conditions;

The above data processing module is specifically used to call the target data processing pipeline to perform data correction processing on the target scanning raw data, and perform data reconstruction processing according to the processed data and reconstruction conditions, and obtain a target correction table corresponding to the target scanning parameters.

In one embodiment, the above parameter information also includes reconstruction conditions; the target data processing pipeline includes at least a first sub-data processing pipeline and a second sub-data processing pipeline;

The above data processing module is specifically used to call the first sub-data processing pipeline to perform data correction processing on the target scanning raw data, and perform data reconstruction processing according to the processed data and reconstruction conditions to obtain intermediate results; call the second sub-data processing pipeline Perform data correction processing on the intermediate results, and perform data reconstruction processing according to the processed data and reconstruction conditions, and obtain a target correction table corresponding to the target scanning parameters.

In one embodiment, the device also includes:

The intermediate result storage module is used for storing the intermediate result in the preset storage space;

The intermediate result obtaining module is configured to obtain the intermediate result from the preset storage space if it is detected that the second sub-data processing pipeline is idle.

In one embodiment, the device also includes:

The configuration information receiving module is used to receive pipeline configuration information; the pipeline configuration information includes pipeline identification, pipeline quantity and available computing resources;

The resource configuration module is configured to allocate corresponding computing resources to the data processing pipelines corresponding to the pipeline identifiers according to the number of pipelines and available computing resources.

A data processing system for CT correction, the system includes a data acquisition terminal and a data processing terminal;

The data acquisition terminal is used to obtain multiple sets of scanning parameters and the parameter information corresponding to each set of scanning parameters; control the scanning device to perform CT scanning sequentially according to the scanning conditions corresponding to each set of scanning parameters, and obtain multiple sets of scanning raw data; the parameter information includes scanning conditions And the pipeline information of the data processing pipeline corresponding to the call;

The data processing terminal is used to determine the target pipeline information according to the target scanning parameters corresponding to the obtained target scanning raw data for each set of scanning raw data obtained during the scanning process, and call the target data processing pipeline to perform data processing according to the target pipeline information, A target calibration table corresponding to the target scanning parameters is obtained.

A computer device, comprising a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

Obtain multiple sets of scan parameters and parameter information corresponding to each set of scan parameters; the parameter information includes scan conditions and pipeline information of the correspondingly invoked data processing pipeline;

Control the scanning device to perform CT scanning sequentially according to the scanning conditions corresponding to each set of scanning parameters, and obtain multiple sets of scanning raw data;

In the scanning process, each time a set of scanning raw data is obtained, the target pipeline information is determined according to the target scanning parameters corresponding to the obtained target scanning raw data, and the target data processing pipeline is called for data processing according to the target pipeline information, and the corresponding target scanning parameters are obtained. target correction table.

A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Obtain multiple sets of scan parameters and parameter information corresponding to each set of scan parameters; the parameter information includes scan conditions and pipeline information of the correspondingly invoked data processing pipeline;

Control the scanning device to perform CT scanning sequentially according to the scanning conditions corresponding to each set of scanning parameters, and obtain multiple sets of scanning raw data;

In the scanning process, each time a set of scanning raw data is obtained, the target pipeline information is determined according to the target scanning parameters corresponding to the obtained target scanning raw data, and the target data processing pipeline is called for data processing according to the target pipeline information, and the corresponding target scanning parameters are obtained. target correction table.

In the above data processing method, device, system and computer equipment for CT correction, the terminal obtains multiple sets of scanning parameters and parameter information corresponding to each set of scanning parameters; the control scanning equipment performs CT scanning sequentially according to the scanning conditions corresponding to each set of scanning parameters, and obtains multiple Group scanning raw data; in the scanning process, each time a group of scanning raw data is obtained, the target pipeline information is determined according to the target scanning parameters corresponding to the obtained target scanning raw data, and the target data processing pipeline is called for data processing according to the target pipeline information. A target calibration table corresponding to the target scanning parameters is obtained. In the prior art, data processing is performed after each scan, and the second scan is performed after the data processing is completed. However, in the embodiment of the present disclosure, CT scanning and CT correction are processed in parallel, and data correction is also performed while scanning. Therefore, it is different from the current Compared with existing technologies, CT correction efficiency can be improved.

Description of drawings

Fig. 1 is the application environment diagram of the data processing method of CT correction in an embodiment;

Fig. 2 is a schematic flow chart of a data processing method for CT correction in an embodiment;

Fig. 3 is a schematic flowchart of the steps of determining the target pipeline information for CT correction, calling the target data processing pipeline, and obtaining the target correction table in an embodiment;

Fig. 4 is one of the schematic flow charts of the steps of invoking the target data processing pipeline for data processing and obtaining the target calibration table corresponding to the target scan parameters in one embodiment;

FIG. 5 is the second schematic flow diagram of the steps of invoking the target data processing pipeline for data processing and obtaining the target calibration table corresponding to the target scanning parameters in an embodiment;

FIG. 6 is a schematic flow diagram of a resource configuration step in an embodiment;

FIG. 7 is a schematic flowchart of a data processing method for CT correction in another embodiment;

Fig. 8 is a structural block diagram of a data processing device for CT correction in an embodiment;

Fig. 9 is a structural block diagram of a data processing system for CT correction in an embodiment;

Figure 10 is a diagram of the internal structure of a computer device in one embodiment.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

The data processing method for CT correction provided in this application can be applied to the application environment shown in FIG. 1 . Wherein, the environment includes a CT device, and the CT device includes a scanning device 101 and a computer device 102 . Wherein, the scanning device 101 includes an X-ray tube, a detector, and a scanning frame (frame); the computer device 102 includes at least one terminal, and the terminal may include a processor, a display, and a memory.

In one embodiment, as shown in FIG. 2 , a data processing method for CT correction is provided, which may include the following steps:

In step 201, the terminal acquires multiple sets of scanning parameters and parameter information corresponding to each set of scanning parameters.

Wherein, each set of scanning parameters may include at least one of resolution, layer thickness, layer distance, field of view, window width and window level, tube current, and tube current quantity. The parameter information includes scanning conditions and pipeline information of a correspondingly called data processing pipeline. The scanning conditions may include parameter values of various scanning parameters; the pipeline information may include the pipeline identifier and the size of occupied resources of the data processing pipeline. The embodiments of the present disclosure make no limitation on parameter information, scanning conditions and pipeline information.

Store multiple sets of scanning parameters in the terminal in advance, and set multiple data processing pipelines, and different data processing pipelines correspond to different scanning parameters. When performing data processing for CT correction, the terminal acquires multiple sets of scan parameters, scan conditions of each set of scan parameters, and pipeline information of a data processing pipeline called correspondingly by each set of scan parameters.

Step 202, controlling the scanning device to sequentially perform CT scanning according to the scanning conditions corresponding to each set of scanning parameters, to obtain multiple sets of scanning raw data.

When performing CT scanning, the terminal may send a control signal to the scanning device. After receiving the control signal, the scanning device performs CT scanning in sequence according to the multiple sets of scanning parameters carried in the control signal and the scanning conditions of each set of scanning parameters. Get multiple sets of scanned raw data. Alternatively, the terminal may sequentially send multiple control signals to the scanning device, and each time the scanning device receives a control signal, it performs a CT scan according to a set of scanning parameters and scanning conditions carried in the control signal to obtain a set of scanning data. The embodiments of the present disclosure do not limit the control manner.

Step 203, during the scanning process, each time a group of scanning raw data is obtained, the target pipeline information is determined according to the target scanning parameters corresponding to the obtained target scanning raw data, and the target data processing pipeline is called for data processing according to the target pipeline information to obtain the target Target correction table corresponding to scan parameters.

During the scanning process, each time the scanning device obtains a set of scanned raw data, it sends the scanned raw data to the terminal. After receiving a set of scanning data, the terminal takes the set of scanning data as the target scanning data, determines the scanning parameters corresponding to the target scanning data as the target scanning parameters, and determines the pipeline information corresponding to the target scanning parameters as the target scanning parameters. Pipeline information. Afterwards, the terminal determines the target data processing pipeline to be invoked according to the target pipeline information, and invokes the target data processing relationship to perform data processing on the target scanning raw data, and obtains the target calibration table corresponding to the target scanning parameters.

In one embodiment, the data processing is data correction processing; after the terminal determines the target data processing pipeline, it invokes the target data processing pipeline to perform data correction processing on the target scan raw data to obtain a target correction table.

In one of the embodiments, the computer device includes a first terminal and a second terminal, the first terminal performs step 201 and step 202, and the second terminal performs step 203. Embodiments of the present disclosure do not limit this. It is understandable that the data processing of CT correction by different terminals can improve the data processing efficiency on the one hand, thereby shortening the CT correction time, and on the other hand, it can also be compatible with various systems, such as compatible with 6 rows, 40 rows, 64 rows, and There are 320 row systems.

In the above data processing method for CT correction, the terminal acquires multiple sets of scanning parameters and parameter information corresponding to each set of scanning parameters; the scanning device is controlled to perform CT scanning sequentially according to the scanning conditions corresponding to each set of scanning parameters to obtain multiple sets of scanning raw data; During the scanning process, each time a set of scanning raw data is obtained, the target pipeline information is determined according to the target scanning parameters corresponding to the obtained target scanning raw data, and the target data processing pipeline is called for data processing according to the target pipeline information, and the corresponding target scanning parameters are obtained. Target correction table. In the prior art, data processing is performed after each scan, and the second scan is performed after the data processing is completed. However, in the embodiment of the present disclosure, CT scanning and CT correction are processed in parallel, and data correction is also performed while scanning. Therefore, it is different from the current Compared with existing technologies, CT correction efficiency can be improved.

In one embodiment, the pipeline information includes the data processing queue to which the data processing pipeline belongs. As shown in FIG. 3 , the target pipeline information is determined according to the target scan parameters corresponding to the obtained target scan raw data, and the target data processing queue is called according to the target pipeline information. The pipeline performs data processing to obtain the target correction table corresponding to the target scanning parameters, including:

Step 301: Determine the target data processing queue to which the data processing pipeline belongs according to the target scan parameters corresponding to the target scan raw data.

Multiple data processing queues can be set in the terminal in advance, and different data processing queues are used in different scenarios. For example, data processing queue 1 is applied in a clinical diagnosis scenario, and data processing queue 2 is applied in a CT correction scenario. The embodiments of the present disclosure do not limit the number of data processing queues in each scenario.

After obtaining a set of scanning raw data, the terminal uses the set of scanning raw data as target scanning raw data, and determines corresponding target scanning parameters according to the target scanning raw data. Since the parameter information corresponding to each set of scanning parameters includes the data processing queue to which the data processing pipeline belongs, the corresponding target data processing queue can be determined according to the target scanning parameters.

For example, after obtaining a group of target scanning data a, the terminal determines the corresponding target scanning parameters as group A scanning parameters, and then determines the data processing queue 2 as the target data processing queue according to the target scanning parameters.

Step 302: Detect the target data processing queue, and use an idle data processing pipeline in the target data processing queue as the target data processing pipeline.

Multiple data processing pipelines are preset in each data processing queue, for example, 4 data processing pipelines are set in data processing queue 2 . Multiple data processing pipelines can perform data processing in parallel, and each data processing pipeline turns into an idle state after data processing. It can be understood that the terminal presets the maximum allowable number of pipelines in the data processing queue, which can control the number of data processing pipelines running in parallel. If any data processing pipeline is idle after data processing, the terminal can immediately schedule the idle data processing pipeline, and always keep the maximum allowable number of pipelines to process data at the same time.

After determining the target data processing queue, the terminal detects the target data processing queue, and if any data processing pipeline in the target data processing changes to an idle state, the idle data processing pipeline is used as the target data processing pipeline.

In step 303, the target data processing pipeline is invoked for data processing, and a target correction table corresponding to the target scan parameters is obtained.

The target data processing pipeline is invoked to perform data processing on the target scan raw data to obtain a target correction table corresponding to the target scan parameters.

The target pipeline information is determined according to the target scan parameters corresponding to the obtained target scan data, and the target data processing pipeline is called for data processing according to the target pipeline information, and the target calibration table corresponding to the target scan parameters is obtained. Target scanning parameters corresponding to the data, determine the target data processing queue to which the data processing pipeline belongs; detect the target data processing queue, and use the idle data processing pipeline in the target data processing queue as the target data processing pipeline; call the target data processing pipeline to perform Data processing to obtain a target calibration table corresponding to the target scan parameters. In the embodiments of the present disclosure, data processing queues applicable to different scenarios are set, and data processing can be performed on scanned data in different scenarios, thereby avoiding data confusion and improving data processing efficiency. Furthermore, each data processing queue is provided with multiple data processing pipelines, and the multiple data processing pipelines can process data in parallel, so the data processing efficiency can also be improved, thereby improving the CT correction efficiency.

In one embodiment, the parameter information also includes reconstruction conditions; the data processing of the target data processing pipeline includes data correction processing and data reconstruction processing, and the above step of invoking the target data processing pipeline for data processing to obtain the target calibration table corresponding to the target scan parameters It can include multiple cases. In one case, the data processing pipeline only needs to perform data correction processing, and the terminal calls the target data processing pipeline to perform data correction processing on the target scan raw data to obtain a target correction table corresponding to the target scan parameters. In another case, the data processing pipeline not only needs to perform data correction processing, but also needs to perform data reconstruction processing, then the terminal calls the target data processing pipeline to perform data correction processing on the target scanning raw data, and performs data correction processing according to the processed data and reconstruction conditions. Data reconstruction processing is performed to obtain a target correction table corresponding to the target scan parameters.

It can be understood that data processing is performed in parallel by multiple data processing pipelines, which can improve data processing efficiency and further improve CT correction efficiency.

In one embodiment, the target data processing pipeline includes at least a first sub-data processing pipeline and a second sub-data processing pipeline; The steps for correcting the table may include:

In step 401, the terminal invokes the first sub-data processing pipeline to perform data correction processing on the target scanned raw data, and performs data reconstruction processing according to the processed data and reconstruction conditions to obtain intermediate results.

Step 402, call the second sub-data processing pipeline to perform data correction processing on the intermediate results, and perform data reconstruction processing according to the processed data and reconstruction conditions, and obtain a target correction table corresponding to the target scan parameters.

The terminal first determines the corresponding target pipeline information and reconstruction conditions according to the target scan data, and then determines the first sub-data processing pipeline and the second sub-data processing pipeline to be invoked according to the target pipeline information. Next, the terminal invokes the first sub-data processing pipeline, and the first sub-data processing pipeline performs data correction processing on the target scanning raw data, and performs data reconstruction processing according to the processed data and reconstruction conditions to obtain intermediate results. Afterwards, the terminal invokes the second sub-data processing pipeline, and the second sub-data processing pipeline performs data correction processing on the intermediate results, and performs data reconstruction processing according to the processed data and reconstruction conditions to obtain the target correction table.

It can be understood that for multiple sets of scanned raw data, after the first sub-data processing pipeline processes a set of scanned raw data, the second sub-data processing pipeline performs the next data processing; while the first sub-data processing pipeline can continue to process Another set of scanned raw data. Therefore, using multiple data processing pipelines to process a set of scan raw data can improve data processing efficiency, shorten the generation time of the correction table, and improve CT correction efficiency.

In one of the embodiments, the computer device may include a first terminal and a second terminal, and the target data processing queue includes a first data processing queue and a second data processing queue, wherein the first data processing queue is set in the first terminal, And the first data processing queue includes multiple data processing pipelines; the second data processing queue is set in the second terminal, and the second data processing queue also includes multiple data processing pipelines. Step 401 is executed by the first terminal, and step 402 is executed by the second terminal. For example, when the air correction algorithm is used for CT correction, the first terminal performs step 401 to obtain an intermediate result, and the second terminal obtains the intermediate result from the first terminal and performs step 402 . In the nonlinear correction algorithm, the first sub-data processing pipeline processes the data of the XDFS (X deflected flying spot) focus to generate intermediate results, and the second sub-data processing pipeline processes ZXDFS (Z and X directions) according to the intermediate results. Fly focus) focus data to generate a correction table. Since ZXDFS can use the intermediate results of XDFS processing to generate correction tables, it can save data processing time.

It can be understood that multiple terminals call multiple data processing pipelines in parallel at the same time, which can improve data processing efficiency, thereby improving CT correction efficiency.

In one of the embodiments, as shown in Figure 5, after obtaining the intermediate result, it may also include:

Step 403, storing the intermediate results in a preset storage space.

Correspondingly, before step 402, it may also include:

Step 404, if it is detected that the second sub-data processing pipeline is idle, then obtain an intermediate result from a preset storage space.

After obtaining the intermediate results, the terminal can store the intermediate results in the hard disk or shared memory. At the same time, the terminal detects the second data processing queue, and if it detects that there is an idle data processing pipeline in the second data processing queue, it takes the idle data processing pipeline as the second sub-data processing pipeline and takes it out from the hard disk or shared memory. intermediate results, and call the second sub-data processing pipeline to perform data processing according to the intermediate results.

In the above embodiment, the terminal invokes the first sub-data processing pipeline to perform data correction processing on the target scan raw data, and performs data reconstruction processing according to the processed data and reconstruction conditions to obtain intermediate results; after that, the terminal stores the intermediate results in the preset In the storage space; when it is detected that the second sub-data processing pipeline is idle, the intermediate result is obtained from the preset storage space, and the second sub-data processing pipeline is called to perform data correction processing on the intermediate result, and according to the processed data and reconstruction conditions to perform data reconstruction processing to obtain the target calibration table corresponding to the target scanning parameters. In the embodiment of the present disclosure, multiple data processing pipelines are used for data processing for a set of scanned raw data, and intermediate results are stored in a preset space during the processing, which can improve data processing efficiency, thereby improving CT correction efficiency.

In one embodiment, as shown in FIG. 6, corresponding computing resources may also be pre-configured for the data processing pipeline, including:

Step 204, the terminal receives pipeline configuration information.

Wherein, the pipeline configuration information includes pipeline identification, pipeline quantity and available computing resources.

The terminal can receive the pipeline configuration information input by the user. Since the computing resources required by each data processing pipeline are different, the maximum number of pipelines that can be scheduled in parallel by different terminals is also different. Therefore, users can adjust the data processing pipelines on each terminal according to the computing resources required by the data processing pipeline and the hardware configuration of the terminal. to configure. For example, the available computing resources of the terminal, the number of data processing pipelines on the terminal, and the pipeline identifiers of each data processing pipeline are configured.

In practical applications, the number of pipelines may be 4, 5, 10 or a set value greater than or equal to two, and the embodiment of the present disclosure does not limit the number of pipelines for data processing pipelines.

Step 205, according to the number of pipelines and available computing resources, allocate corresponding computing resources to the data processing pipeline corresponding to the pipeline identifier.

After receiving the pipeline configuration information, the terminal automatically allocates corresponding computing resources for each data processing pipeline according to the number of pipelines and available computing resources. Moreover, after the computing resources are allocated, the data processing pipelines are bound to the allocated computing resources, so as to avoid the problem of data processing pipelines preempting resources from each other.

In the above embodiment, the terminal receives the pipeline configuration information, and allocates corresponding computing resources for the data processing pipeline corresponding to the pipeline identifier according to the number of pipelines and available computing resources. In the embodiments of the present disclosure, the resource adaptive binding technology is adopted to avoid the problem of preempting resources.

In one embodiment, as shown in FIG. 7 , a data processing method for CT correction is provided, which may include the following steps:

Step 501, the terminal receives pipeline configuration information.

Among them, the pipeline configuration information includes pipeline identification, pipeline quantity and available computing resources;

Step 502, according to the number of pipelines and available computing resources, allocate corresponding computing resources to the data processing pipelines corresponding to the pipeline identifiers.

Step 503, acquiring multiple sets of scanning parameters and parameter information corresponding to each set of scanning parameters.

Wherein, the parameter information includes the scanning condition and the pipeline information of the correspondingly called data processing pipeline.

Step 504, controlling the scanning device to sequentially perform CT scanning according to the scanning conditions corresponding to each set of scanning parameters to obtain multiple sets of scanning raw data.

Step 505: Determine the target data processing queue to which the data processing pipeline belongs according to the target scan parameters corresponding to the target scan raw data.

Step 506: Detect the target data processing queue, and use an idle data processing pipeline as the target data processing pipeline.

Step 507, calling the target data processing pipeline for data processing, and obtaining the target calibration table corresponding to the target scan parameters.

In one embodiment, the target data processing pipeline is invoked to perform data correction processing on target scan raw data, and perform data reconstruction processing according to the processed data and reconstruction conditions to obtain a target calibration table corresponding to target scan parameters.

In one of the embodiments, the first sub-data processing pipeline is invoked to perform data correction processing on the target scan raw data, and data reconstruction processing is performed according to the processed data and reconstruction conditions to obtain intermediate results; the second sub-data processing pipeline is invoked to Perform data correction processing on the intermediate results, and perform data reconstruction processing according to the processed data and reconstruction conditions, and obtain the target calibration table corresponding to the target scanning parameters

In the above data processing method for CT correction, the terminal first adaptively binds resources, and then performs data processing while scanning. Since scanning and data processing are performed in parallel, CT correction efficiency can be improved. Furthermore, multiple data processing pipelines are set in the data processing queue, and the multiple data processing pipelines can also process data in parallel, so the CT correction efficiency can be further improved.

It should be understood that although the various steps in the flow charts of FIGS. 2-7 are shown sequentially as indicated by the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in FIGS. 2-7 may include multiple steps or stages. These steps or stages are not necessarily executed at the same moment, but may be executed at different moments. The steps or stages The execution sequence is not necessarily performed sequentially, but may be performed alternately or alternately with other steps or at least a part of steps or stages in other steps.

In one embodiment, as shown in FIG. 8, a data processing device for CT correction is provided, including:

The parameter acquisition module 601 is configured to acquire multiple sets of scan parameters and parameter information corresponding to each set of scan parameters; the parameter information includes scan conditions and pipeline information of correspondingly called data processing pipelines;

The scan control module 602 is used to control the scan device to perform CT scans sequentially according to the scan conditions corresponding to each set of scan parameters to obtain multiple sets of scan raw data;

The data processing module 603 is used to determine the target pipeline information according to the target scanning parameters corresponding to the obtained target scanning raw data every time a set of scanning raw data is obtained during the scanning process, and call the target data processing pipeline to perform data processing according to the target pipeline information. processing to obtain the target calibration table corresponding to the target scanning parameters.

In one of the embodiments, the above pipeline information includes the data processing queue to which the data processing pipeline belongs;

The above data processing module 603 is specifically used to determine the target data processing queue to which the data processing pipeline belongs according to the target scanning parameters corresponding to the target scanning raw data; detect the target data processing queue, and use the idle data processing pipeline as the target data processing Pipeline: call the target data processing pipeline to perform data processing, and obtain the target correction table corresponding to the target scan parameters.

In one of the embodiments, the above parameter information also includes reconstruction conditions;

The above-mentioned data processing module 603 is specifically used to call the target data processing pipeline to perform data correction processing on the target scan raw data, and perform data reconstruction processing according to the processed data and reconstruction conditions, and obtain the target calibration table corresponding to the target scan parameters.

In one embodiment, the above parameter information also includes reconstruction conditions; the target data processing pipeline includes at least a first sub-data processing pipeline and a second sub-data processing pipeline;

The above data processing module 603 is specifically used to call the first sub-data processing pipeline to perform data correction processing on the target scan raw data, and perform data reconstruction processing according to the processed data and reconstruction conditions to obtain intermediate results; call the second sub-data processing pipeline The pipeline performs data correction processing on the intermediate results, and performs data reconstruction processing according to the processed data and reconstruction conditions, and obtains the target correction table corresponding to the target scanning parameters.

In one embodiment, the device also includes:

The intermediate result storage module is used for storing the intermediate result in the preset storage space;

The intermediate result obtaining module is configured to obtain the intermediate result from the preset storage space if it is detected that the second sub-data processing pipeline is idle.

In one embodiment, the device also includes:

The configuration information receiving module is used to receive pipeline configuration information; the pipeline configuration information includes pipeline identification, pipeline quantity and available computing resources;

The resource configuration module is configured to allocate corresponding computing resources to the data processing pipelines corresponding to the pipeline identifiers according to the number of pipelines and available computing resources.

For specific limitations on the data processing apparatus for CT correction, refer to the above-mentioned limitations on the data processing method for CT correction, which will not be repeated here. Each module in the above-mentioned CT correction data processing device can be fully or partially realized by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, and can also be stored in the memory of the computer device in the form of software, so that the processor can invoke and execute the corresponding operations of the above-mentioned modules.

In one embodiment, as shown in FIG. 9 , a data processing system for CT correction is provided, the system includes a data acquisition terminal and a data processing terminal;

The data acquisition terminal 701 is used to obtain multiple sets of scanning parameters and parameter information corresponding to each set of scanning parameters; control the scanning device to perform CT scanning sequentially according to the scanning conditions corresponding to each set of scanning parameters, and obtain multiple sets of scanning raw data; the parameter information includes scanning Conditions and the pipeline information of the data processing pipeline corresponding to the call;

The data processing terminal 702 is used to determine the target pipeline information according to the target scan parameters corresponding to the obtained target scan raw data for each set of scan raw data obtained during the scanning process, and call the target data processing pipeline to perform data processing according to the target pipeline information , to obtain the target calibration table corresponding to the target scanning parameters.

In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure may be as shown in FIG. 10 . The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, an operator network, NFC (Near Field Communication) or other technologies. When the computer program is executed by the processor, a data processing method for CT correction is realized. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a button, a trackball or a touch pad provided on the casing of the computer device , and can also be an external keyboard, touchpad, or mouse.

Those skilled in the art can understand that the structure shown in Figure 10 is only a block diagram of a part of the structure related to the solution of this application, and does not constitute a limitation to the computer equipment on which the solution of this application is applied. The specific computer equipment can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

In one embodiment, a computer device is provided, including a memory and a processor, a computer program is stored in the memory, and the processor implements the following steps when executing the computer program:

Obtain multiple sets of scan parameters and parameter information corresponding to each set of scan parameters; the parameter information includes scan conditions and pipeline information of the correspondingly invoked data processing pipeline;

Control the scanning device to perform CT scanning sequentially according to the scanning conditions corresponding to each set of scanning parameters, and obtain multiple sets of scanning raw data;

In the scanning process, each time a set of scanning raw data is obtained, the target pipeline information is determined according to the target scanning parameters corresponding to the obtained target scanning raw data, and the target data processing pipeline is called for data processing according to the target pipeline information, and the corresponding target scanning parameters are obtained. target correction table.

In one embodiment, the above pipeline information includes the data processing queue to which the data processing pipeline belongs; when the processor executes the computer program, the following steps are also implemented:

Determine the target data processing queue to which the data processing pipeline belongs according to the target scanning parameters corresponding to the target scanning raw data;

Detect the target data processing queue, and use the idle data processing pipeline as the target data processing pipeline;

The target data processing pipeline is called for data processing, and the target correction table corresponding to the target scanning parameters is obtained.

In one embodiment, the above parameter information also includes reconstruction conditions; when the processor executes the computer program, the following steps are also implemented:

The target data processing pipeline is called to perform data correction processing on the target scanning raw data, and perform data reconstruction processing according to the processed data and reconstruction conditions, and obtain the target correction table corresponding to the target scanning parameters.

In one embodiment, the above parameter information also includes reconstruction conditions; the target data processing pipeline includes at least a first sub-data processing pipeline and a second sub-data processing pipeline; when the processor executes the computer program, it also implements the following steps:

Invoking the first sub-data processing pipeline to perform data correction processing on the target scanning raw data, and performing data reconstruction processing according to the processed data and reconstruction conditions, to obtain intermediate results;

Call the second sub-data processing pipeline to perform data correction processing on the intermediate results, and perform data reconstruction processing according to the processed data and reconstruction conditions, and obtain a target correction table corresponding to the target scanning parameters.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Store the intermediate results in the preset storage space;

If it is detected that the second sub-data processing pipeline is idle, an intermediate result is obtained from a preset storage space.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Receive pipeline configuration information; pipeline configuration information includes pipeline identification, pipeline quantity and available computing resources;

According to the number of pipelines and available computing resources, allocate corresponding computing resources to the data processing pipeline corresponding to the pipeline identifier.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Obtain multiple sets of scan parameters and parameter information corresponding to each set of scan parameters; the parameter information includes scan conditions and pipeline information of the correspondingly invoked data processing pipeline;

Control the scanning device to perform CT scanning sequentially according to the scanning conditions corresponding to each set of scanning parameters, and obtain multiple sets of scanning raw data;

In the scanning process, each time a set of scanning raw data is obtained, the target pipeline information is determined according to the target scanning parameters corresponding to the obtained target scanning raw data, and the target data processing pipeline is called for data processing according to the target pipeline information, and the corresponding target scanning parameters are obtained. target correction table.

In one embodiment, the above pipeline information includes the data processing queue to which the data processing pipeline belongs; when the computer program is executed by the processor, the following steps are also implemented:

Determine the target data processing queue to which the data processing pipeline belongs according to the target scanning parameters corresponding to the target scanning raw data;

Detect the target data processing queue, and use the idle data processing pipeline as the target data processing pipeline;

The target data processing pipeline is called for data processing, and the target correction table corresponding to the target scanning parameters is obtained.

In one embodiment, the above parameter information also includes reconstruction conditions; when the computer program is executed by the processor, the following steps are also implemented:

The target data processing pipeline is called to perform data correction processing on the target scanning raw data, and perform data reconstruction processing according to the processed data and reconstruction conditions, and obtain the target correction table corresponding to the target scanning parameters.

In one embodiment, the above parameter information also includes reconstruction conditions; the target data processing pipeline includes at least a first sub-data processing pipeline and a second sub-data processing pipeline; when the computer program is executed by the processor, the following steps are also implemented:

Invoking the first sub-data processing pipeline to perform data correction processing on the target scanning raw data, and performing data reconstruction processing according to the processed data and reconstruction conditions, to obtain intermediate results;

Call the second sub-data processing pipeline to perform data correction processing on the intermediate results, and perform data reconstruction processing according to the processed data and reconstruction conditions, and obtain a target correction table corresponding to the target scanning parameters.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Store the intermediate results in the preset storage space;

If it is detected that the second sub-data processing pipeline is idle, an intermediate result is obtained from a preset storage space.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Receive pipeline configuration information; pipeline configuration information includes pipeline identification, pipeline quantity and available computing resources;

According to the number of pipelines and available computing resources, allocate corresponding computing resources to the data processing pipeline corresponding to the pipeline identifier.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above-mentioned embodiments can be completed by instructing related hardware through computer programs, and the computer programs can be stored in a non-volatile computer-readable memory In the medium, when the computer program is executed, it may include the processes of the embodiments of the above-mentioned methods. Wherein, any references to memory, storage, database or other media used in the various embodiments provided in the present application may include at least one of non-volatile memory and volatile memory. The non-volatile memory may include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory or optical memory, and the like. Volatile memory may include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

The technical features of the above embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be It is considered to be within the range described in this specification.

The above-mentioned embodiments only represent several implementation modes of the present application, and the description thereof is relatively specific and detailed, but it should not be construed as limiting the scope of the patent for the invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the scope of protection of the patent application should be based on the appended claims.

Claims (7)

1. A method of CT corrected data processing, the method comprising:

acquiring a plurality of groups of scanning parameters and parameter information corresponding to each group of scanning parameters; the parameter information comprises scanning conditions and pipeline information of a data processing pipeline which is correspondingly called;

controlling a scanning device to sequentially perform CT scanning according to scanning conditions corresponding to each group of scanning parameters to obtain a plurality of groups of scanning raw data;

In the scanning process, determining target pipeline information according to target scanning parameters corresponding to the obtained target scanning raw data, and calling a target data processing pipeline according to the target pipeline information to perform data processing to obtain a target correction table corresponding to the target scanning parameters;

wherein the pipeline information comprises a data processing queue to which a data processing pipeline belongs; determining target pipeline information according to target scanning parameters corresponding to the obtained target scanning raw data, and calling a target data processing pipeline to perform data processing according to the target pipeline information to obtain a target correction table corresponding to the target scanning parameters, wherein the target correction table comprises the following components:

determining a target data processing queue to which a data processing pipeline belongs according to target scanning parameters corresponding to the target scanning raw data;

detecting the target data processing queue, and taking an idle data processing pipeline in the target data processing queue as the target data processing pipeline;

calling the target data processing pipeline to perform data processing to obtain a target correction table corresponding to the target scanning parameters;

the parameter information also comprises reconstruction conditions; the target data processing pipeline at least comprises a first sub data processing pipeline and a second sub data processing pipeline, and the calling the target data processing pipeline to perform data processing to obtain a target correction table corresponding to the target scanning parameter comprises the following steps:

Invoking the first sub-data processing pipeline to perform data correction processing on the target scanning raw data, and performing data reconstruction processing according to the processed data and the reconstruction conditions to obtain an intermediate result;

and calling the second sub-data processing pipeline to perform data correction processing on the intermediate result, and performing data reconstruction processing according to the processed data and the reconstruction conditions to obtain a target correction table corresponding to the target scanning parameters.

2. The method of claim 1, wherein after the obtaining the intermediate result, the method further comprises:

storing the intermediate result into a preset storage space;

correspondingly, before the invoking the second sub-data processing pipeline to perform data correction processing on the intermediate result, the method further comprises:

and if the second sub data processing pipeline is detected to be idle, acquiring the intermediate result from the preset storage space.

3. The method according to claim 1, wherein the method further comprises:

receiving pipeline configuration information; the pipeline configuration information includes pipeline identification, number of pipelines, and available computing resources;

And allocating corresponding computing resources for the data processing pipeline corresponding to the pipeline identification according to the pipeline quantity and the available computing resources.

4. A CT corrected data processing apparatus, the apparatus comprising:

the parameter acquisition module is used for acquiring a plurality of groups of scanning parameters and parameter information corresponding to each group of scanning parameters; the parameter information comprises scanning conditions and pipeline information of a data processing pipeline which is correspondingly called;

the scanning control module is used for controlling the scanning equipment to sequentially perform CT scanning according to the scanning conditions corresponding to the scanning parameters of each group to obtain a plurality of groups of scanning raw data;

the data processing module is used for determining target pipeline information according to target scanning parameters corresponding to the obtained target scanning raw data when each group of scanning raw data is obtained in the scanning process, and calling a target data processing pipeline to perform data processing according to the target pipeline information to obtain a target correction table corresponding to the target scanning parameters;

wherein the pipeline information comprises a data processing queue to which a data processing pipeline belongs; the data processing module is specifically configured to determine a target data processing queue to which a data processing pipeline belongs according to a target scanning parameter corresponding to the target scanning raw data; detecting the target data processing queue, and taking an idle data processing pipeline in the target data processing queue as the target data processing pipeline; calling the target data processing pipeline to perform data processing to obtain a target correction table corresponding to the target scanning parameters;

The parameter information also comprises reconstruction conditions; the target data processing pipeline at least comprises a first sub data processing pipeline and a second sub data processing pipeline, and the data processing module is specifically used for calling the first sub data processing pipeline to perform data correction processing on the target raw scanning data, and performing data reconstruction processing according to the processed data and the reconstruction conditions to obtain an intermediate result; and calling the second sub-data processing pipeline to perform data correction processing on the intermediate result, and performing data reconstruction processing according to the processed data and the reconstruction conditions to obtain a target correction table corresponding to the target scanning parameters.

5. A CT corrected data processing system, the system comprising a data acquisition terminal and a data processing terminal;

the data acquisition terminal is used for acquiring a plurality of groups of scanning parameters and parameter information corresponding to each group of scanning parameters; controlling a scanning device to sequentially perform CT scanning according to scanning conditions corresponding to each group of scanning parameters to obtain a plurality of groups of scanning raw data; the parameter information comprises scanning conditions and pipeline information of a data processing pipeline which is correspondingly called;

The data processing terminal is used for determining target pipeline information according to target scanning parameters corresponding to the obtained target scanning raw data every time a group of scanning raw data is obtained in the scanning process, and calling a target data processing pipeline to perform data processing according to the target pipeline information to obtain a target correction table corresponding to the target scanning parameters;

wherein the pipeline information comprises a data processing queue to which a data processing pipeline belongs; the data processing terminal is specifically configured to determine a target data processing queue to which the data processing pipeline belongs according to a target scanning parameter corresponding to the target scanning raw data; detecting the target data processing queue, and taking an idle data processing pipeline in the target data processing queue as the target data processing pipeline; calling the target data processing pipeline to perform data processing to obtain a target correction table corresponding to the target scanning parameters;

the parameter information also comprises reconstruction conditions; the target data processing pipeline at least comprises a first sub data processing pipeline and a second sub data processing pipeline, and the data processing terminal is specifically used for calling the first sub data processing pipeline to perform data correction processing on the target raw scanning data, and performing data reconstruction processing according to the processed data and the reconstruction conditions to obtain an intermediate result; and calling the second sub-data processing pipeline to perform data correction processing on the intermediate result, and performing data reconstruction processing according to the processed data and the reconstruction conditions to obtain a target correction table corresponding to the target scanning parameters.

6. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 3 when the computer program is executed.

7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 3.

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