WO2016062112A1 - Procédé de détection d'élasticité, dispositif de détection d'élasticité, et système - Google Patents
Procédé de détection d'élasticité, dispositif de détection d'élasticité, et système Download PDFInfo
- Publication number
- WO2016062112A1 WO2016062112A1 PCT/CN2015/081919 CN2015081919W WO2016062112A1 WO 2016062112 A1 WO2016062112 A1 WO 2016062112A1 CN 2015081919 W CN2015081919 W CN 2015081919W WO 2016062112 A1 WO2016062112 A1 WO 2016062112A1
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- elastic
- data center
- cloud data
- detecting device
- elasticity
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Clinical applications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/44—Constructional features of the ultrasonic, sonic or infrasonic diagnostic device
- A61B8/4411—Device being modular
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/48—Diagnostic techniques
- A61B8/485—Diagnostic techniques involving measuring strain or elastic properties
Definitions
- the invention relates to the technical field of medical instruments, in particular to a method, device and system for elastic detection.
- the elasticity of biological tissues is closely related to the biological characteristics of the lesions, and has important reference value for the diagnosis process of diseases.
- traditional medical imaging modalities including X-ray imaging, ultrasound imaging, magnetic resonance imaging (MRI), computed tomography (CT), etc.
- MRI magnetic resonance imaging
- CT computed tomography
- Elastography the elastic imaging technology has been rapidly developed. This technology can obtain the quantitative information of the elastic distribution within the organization, make up for the deficiency of traditional medical imaging modality, and has very important clinical value and broad application prospects.
- Elastography is a technique for quantitatively detecting tissue elastic modulus.
- the basic principle is to apply an internal (including own) or external dynamic/static/quasi-static excitation to the tissue. Under the action of physical laws such as elastic mechanics and biomechanics, the tissue will produce a response. Due to the different elastic coefficients (stress/strain) of different tissues (including normal and pathological tissues), the strain is different after being pressed by external force. The change of the amplitude of the echo signal before and after compression is converted into an image to visually display the elasticity of the tissue through the color of the image, thereby locating the lesion.
- This technique can provide quantitative values of tissue elasticity.
- Tissue elastography can effectively identify the benign and malignant nature of solid tumors, and has high specificity and sensitivity for the diagnosis of malignant lesions.
- Current research has shown that this technique has unique advantages in the qualitative and quantitative diagnosis of deep vein thrombosis, benign breast lesions, small breast mass, prostate cancer, malignant tumor, thyroid cancer and liver fibrosis.
- the existing elastic detecting device can only obtain the elastic detecting information of the currently detected patient, and cannot share the elastic detecting information.
- the invention provides a method, a device and a system for elastic detection, which realize sharing of elasticity detection information.
- the present invention provides the following technical solutions:
- An elastic detection method comprising:
- Step 1 Obtaining the elasticity detection information of the patient using the elastic detecting device
- Step 2 The elasticity detecting device uploads the elasticity detection information to a cloud data center;
- Step 3 The cloud data center receives and saves the elasticity detection information for sharing.
- the elasticity detection information includes mechanism information using the elasticity detecting device, identification information of the elasticity detecting device, identity information of the patient, and elasticity detection value information.
- Step 4 The client obtains the elasticity detection information of the cloud data center.
- the step 3 is further: the cloud data center stores the elasticity detection information in a database for the client to acquire.
- the step 2 further includes: the client and/or the third direction uploading data to the cloud data center, where the third party is a data terminal and/or a data center other than the elastic detecting device and the client;
- the method further includes:
- Step 31 The cloud data center feeds back data to the elastic detecting device.
- Step 32 The elasticity detecting device receives data fed back by the cloud data center.
- the step 2 further includes a step 21: the elastic detecting device encrypts the elasticity detection information
- the step 3 is further: the cloud data center receives the elasticity detection information and decrypts and saves the information.
- step 4 includes:
- Step 41 The cloud data center encrypts the elastic detection information and sends it to the guest. Account
- Step 42 The client decrypts and receives the received elasticity detection information.
- the method further includes the step 22: the cloud data center performs identity authentication on the elastic detecting device, and assigns corresponding authority to the elastic detecting device;
- the method further includes the step 33: the cloud data center performs identity authentication on the client, and assigns the corresponding authority to the client.
- An elastic detecting device comprising:
- An elastic detection module for acquiring elasticity detection information of the patient
- the remote transmission module is configured to upload the elasticity detection information to the cloud data center.
- the remote transmission module is further configured to receive data fed back by the cloud data center;
- the elastic detecting device further includes:
- an encryption module configured to encrypt the elasticity detection information.
- An elastic detection system includes the above-mentioned elastic detecting device and a cloud data center connected to the elastic detecting device via a network.
- the elastic detection system further includes a client, and the client is connected to the cloud data center through a network.
- the client includes a computer, a mobile phone, and/or a tablet (PAD), and the cloud data center is a server, and the network includes an Internet (Internet), a wireless local area network (WLAN), and a general packet radio network (GPRS). ), third generation mobile communication network (3G) and/or fourth generation mobile communication network (4G).
- Internet Internet
- WLAN wireless local area network
- GPRS general packet radio network
- 3G third generation mobile communication network
- 4G fourth generation mobile communication network
- the elastic detecting device acquires the elasticity detecting information of the patient and uploads it to the cloud data center for sharing, so that people (including hospitals, doctors, patients, etc.) can receive data from the cloud.
- the center obtains the elasticity detection information, and realizes the sharing of the elasticity detection information.
- Flexible detection information sharing enables patients to easily obtain their own flexible detection information through the client to understand their physical condition; the hospital can obtain a large number of patient's elastic detection information, track patient detection, and target patients. Detection, there is Effectively improve the treatment effect; cloud data center can conduct scientific research based on a large number of elastic detection information to promote the development of medical undertakings.
- FIG. 1 is a schematic flow chart of an elastic detecting method of the present invention
- FIG. 2 is a schematic structural view of an elastic detecting device of the present invention
- FIG. 3 is a schematic structural view of an elastic detecting system of the present invention.
- the present invention provides a method for detecting elasticity, as shown in FIG. 1, comprising:
- Step 1 Obtaining the elasticity detection information of the patient using the elastic detecting device
- the elastic detecting device is generally in the form of a structure, for example, an elastic detecting probe, an elastic detecting host and corresponding software;
- Step 2 The elastic detecting device uploads the elastic detection information to the cloud data center;
- the elastic detection device can upload the elastic detection information to the cloud data center through a network (including but not limited to the Internet, WLAN, GPRS, 3G, 4G);
- Step 3 The cloud data center receives and saves the elasticity detection information for sharing
- the cloud data center receives and stores the data uploaded by the elastic detection device for sharing, and the cloud data center links with the external network through the network, where the network refers to any network that can be linked to the cloud data center, such as the Internet, GPRS, wireless network, etc. ;
- the cloud data center can receive data uploaded by multiple elastic detection devices to form a big data platform
- the elastic detection information includes mechanism information using the elastic detecting device, identification information of the elastic detecting device, identity information of the patient, and elasticity detection value information, and the above-mentioned institutions are medical institutions and health service institutions including hospitals. Wait.
- the elastic detecting device acquires a patient
- the elasticity detection information is uploaded to the cloud data center for sharing, so that people (including hospitals, doctors, patients, etc.) can obtain the elasticity detection information from the cloud data center, and realize the sharing of the elasticity detection information.
- Flexible detection information sharing enables patients to easily obtain their own flexible detection information through the client to understand their physical condition; the hospital can obtain a large number of patient's elastic detection information, track patient detection, and target patients. Detection, effective to improve the treatment effect; cloud data center can conduct scientific research based on a large number of flexible detection information to promote the development of medical undertakings.
- the method further includes:
- Step 4 The client obtains the elastic detection information of the cloud data center.
- the client can access the cloud data center through the web server or the APP for any tool that can connect to the network, such as a computer, a mobile phone, a PAD, etc., to realize the sharing of the elastic detection information; of course, the elastic detection device can also directly detect the elasticity through the network.
- the information is sent to the client, and the sharing of the elastic detection information can also be realized.
- Step 3 is further: the cloud data center stores the elastic detection information in the database for the client to acquire.
- Storing the elastic detection information in the database enables the cloud data center to manage the elastic detection information more conveniently, so that the client can obtain the flexible detection information more conveniently.
- step 2 may further include: uploading data by the client and/or the third direction cloud data center, where the third party may be a data terminal and/or a data center other than the elastic detecting device and the client;
- the patient can use the client to upload personal data to the cloud data center to update the user information;
- the cloud data center can also receive information sent by a third party, that is, the cloud data center has a third-party data receiving interface, and the third party refers to a data detecting terminal and/or a data center other than the elastic detecting device and the client, which can be a hospital or a certain Some cooperative data centers, etc., the data provided to the cloud data center may be information such as patient information, pathological cases of some diseases, and the like.
- step 4 it may further include:
- Step 31 The cloud data center feeds back data to the elastic detecting device.
- Step 32 The elastic detecting device receives the data fed back by the cloud data center;
- the doctor can use the elastic detection device to receive the data fed back by the cloud data center, and the feedback data includes the status information of whether the elastic detection information is successfully uploaded, etc., and can accurately determine whether the elastic detection information is successfully uploaded.
- step 2 further includes step 21: the elastic detecting device encrypts the elasticity detecting information
- Step 3 is further: the cloud data center receives the elastic detection information and decrypts and saves;
- the elastic detection device encrypts the elastic detection information and then uploads it to the cloud data center, thereby ensuring the security of data transmission between the elastic detection device and the cloud data center, and avoiding leakage of patient privacy.
- step 4 includes:
- Step 41 The cloud data center encrypts the elastic detection information and sends the information to the client.
- Step 42 The client decrypts and receives the received elasticity detection information.
- the cloud data center encrypts the elastic detection information and then sends it to the client, ensuring the security of data transmission between the client and the cloud data center, and further avoiding leakage of patient privacy.
- the method further includes the step 22: the cloud data center performs identity authentication on the elastic detecting device, and assigns corresponding authority to the elastic detecting device;
- Step 32 further includes step 33: the cloud data center authenticates the client, and assigns the corresponding authority to the client;
- the cloud data center is generally connected to a plurality of elastic detecting devices and clients. These elastic detecting devices may belong to the same hospital or may belong to multiple hospitals, and the client may be used by a patient or may be used by a doctor. In this way, it is necessary to authenticate the elastic detection device and the client, and assign different permissions;
- the elastic detecting device has the functions of uploading elastic detection information, viewing the elastic detection information uploaded by itself, and viewing the flexible detection information authorized by the patient.
- the authority of the elastic detecting device can be customized according to the actual situation;
- the client is divided into a doctor and a patient.
- the authority of the doctor is based on the hospital and the cloud.
- the data center is set up together, and the personal rights of different doctors are also different; in general, the patient can access the patient's own flexible detection information and upload personal information.
- the patient can also customize the permissions according to the actual situation, each patient has Have your own permissions.
- the present invention provides an elastic detecting device 7, as shown in FIG. 2, comprising:
- the elasticity detecting module 71 is configured to acquire elasticity detection information of the patient
- the remote transmission module 72 is configured to upload the elasticity detection information to the cloud data center; the remote transmission module 72 can include a hardware interface circuit and corresponding software.
- the elastic detecting device 7 of the present invention adds a remote transmitting module 72 to the conventional elastic detecting device, which enables sharing of the elastic detecting information.
- the remote transmission module 72 is further configured to receive data fed back by the cloud data center;
- the doctor can use the elasticity detecting device 7 to receive the data fed back by the cloud data center, and the feedback data includes state information of whether the elastic detection information is successfully uploaded, etc., and can accurately determine whether the elastic detection information is successfully uploaded;
- the elastic detecting device 7 further includes:
- the encryption module 73 is configured to encrypt the elasticity detection information.
- the encryption module 73 of the elasticity detecting device 7 encrypts the elasticity detection information and uploads it to the cloud data center, thereby ensuring the security of data transmission between the elastic detection device and the cloud data center, and avoiding leakage of patient privacy.
- the present invention provides an elastic detecting system, as shown in FIG. 3, comprising the above-described elastic detecting device 7 and a cloud data center 8 connected to the elastic detecting device 7 via a network.
- the elastic detecting device 7 acquires the elasticity detecting information of the patient and uploads it to the cloud data center 8, and the person can obtain the elastic detecting information from the cloud data center 8 to realize The sharing of elastic detection information.
- Flexible detection information sharing enables patients to easily obtain their own flexible detection information through the client to understand their physical condition; the hospital can obtain a large number of patient's elastic detection information, track patient detection, and target patients. Detection, effective to improve the treatment effect; cloud data center can conduct scientific research based on a large number of flexible detection information to promote the development of medical undertakings.
- the elastic detection system further includes a client 9, and the client 9 is connected to the cloud data center 8 through a network.
- the shared data can be obtained from the cloud data center in various manners.
- the elastic detection information is obtained from the cloud data center by using the client, and the flexible detection information is conveniently shared.
- the client 9 may include a computer, a mobile phone, and/or a tablet (PAD), etc.
- the cloud data center 8 is a server.
- the server includes a general server, a large server, and/or a cloud server, and the network includes the Internet (Internet) and wireless.
- WLAN Local area network
- GPRS general packet radio network
- 3G third generation mobile communication network
- 4G fourth generation mobile communication network
- the flexible detection system of the present invention has various types of clients, including various terminal devices commonly used in the market, and uses various commonly used network connections, thereby making the system compatible and having high scalability.
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Abstract
L'invention concerne un procédé de détection d'élasticité, un dispositif de détection d'élasticité (7) et un système, le procédé de détection d'élasticité comprenant : le dispositif de détection d'élasticité (7) est utilisé pour obtenir des informations de détection d'élasticité d'un patient; le dispositif de détection d'élasticité (7) télécharge les informations de détection d'élasticité dans un centre de données d'extrémité en nuage (8); le centre de données d'extrémité en nuage (8) reçoit et stocke les informations de détection d'élasticité, en vue d'un partage. Le procédé de détection d'élasticité, le dispositif de détection d'élasticité (7) et le système mettent en œuvre le partage des informations de détection d'élasticité.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410562343.7A CN104337550B (zh) | 2014-10-21 | 2014-10-21 | 弹性检测的方法、装置和系统 |
| CN201410562343.7 | 2014-10-21 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2016062112A1 true WO2016062112A1 (fr) | 2016-04-28 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/CN2015/081919 Ceased WO2016062112A1 (fr) | 2014-10-21 | 2015-06-19 | Procédé de détection d'élasticité, dispositif de détection d'élasticité, et système |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN104337550B (fr) |
| WO (1) | WO2016062112A1 (fr) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104337550B (zh) * | 2014-10-21 | 2018-07-06 | 无锡海斯凯尔医学技术有限公司 | 弹性检测的方法、装置和系统 |
| CN104636622B (zh) | 2015-02-12 | 2017-08-04 | 无锡海斯凯尔医学技术有限公司 | 基于弹性检测设备的健康状况分析方法及系统 |
| CN104622513B (zh) * | 2015-02-12 | 2017-04-19 | 无锡海斯凯尔医学技术有限公司 | 弹性检测设备的数据分析处理方法及弹性检测设备 |
| CN105450752A (zh) * | 2015-11-30 | 2016-03-30 | 武汉璟泓万方堂医药科技股份有限公司 | 基于互联网云服务技术的智慧医疗检测方法及其系统 |
Citations (7)
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| CN102908166A (zh) * | 2012-08-28 | 2013-02-06 | 华南理工大学 | 一种用于三维超声弹性成像的扫查装置和方法 |
| US20130102932A1 (en) * | 2011-10-10 | 2013-04-25 | Charles A. Cain | Imaging Feedback of Histotripsy Treatments with Ultrasound Transient Elastography |
| CN104055539A (zh) * | 2013-03-22 | 2014-09-24 | 三星麦迪森株式会社 | 用于提供弹性信息的设备和方法 |
| CN204147059U (zh) * | 2014-10-21 | 2015-02-11 | 无锡海斯凯尔医学技术有限公司 | 弹性检测装置和系统 |
| CN104337550A (zh) * | 2014-10-21 | 2015-02-11 | 无锡海斯凯尔医学技术有限公司 | 弹性检测的方法、装置和系统 |
| CN104636622A (zh) * | 2015-02-12 | 2015-05-20 | 无锡海斯凯尔医学技术有限公司 | 基于弹性检测设备的健康状况分析方法及系统 |
| CN104622513A (zh) * | 2015-02-12 | 2015-05-20 | 无锡海斯凯尔医学技术有限公司 | 弹性检测设备的数据分析处理方法及弹性检测设备 |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310608A (zh) * | 2013-05-23 | 2013-09-18 | 苏州市玮琪生物科技有限公司 | 用于健康云平台的分离式数据无线采集器及采集方法 |
-
2014
- 2014-10-21 CN CN201410562343.7A patent/CN104337550B/zh active Active
-
2015
- 2015-06-19 WO PCT/CN2015/081919 patent/WO2016062112A1/fr not_active Ceased
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130102932A1 (en) * | 2011-10-10 | 2013-04-25 | Charles A. Cain | Imaging Feedback of Histotripsy Treatments with Ultrasound Transient Elastography |
| CN102908166A (zh) * | 2012-08-28 | 2013-02-06 | 华南理工大学 | 一种用于三维超声弹性成像的扫查装置和方法 |
| CN104055539A (zh) * | 2013-03-22 | 2014-09-24 | 三星麦迪森株式会社 | 用于提供弹性信息的设备和方法 |
| CN204147059U (zh) * | 2014-10-21 | 2015-02-11 | 无锡海斯凯尔医学技术有限公司 | 弹性检测装置和系统 |
| CN104337550A (zh) * | 2014-10-21 | 2015-02-11 | 无锡海斯凯尔医学技术有限公司 | 弹性检测的方法、装置和系统 |
| CN104636622A (zh) * | 2015-02-12 | 2015-05-20 | 无锡海斯凯尔医学技术有限公司 | 基于弹性检测设备的健康状况分析方法及系统 |
| CN104622513A (zh) * | 2015-02-12 | 2015-05-20 | 无锡海斯凯尔医学技术有限公司 | 弹性检测设备的数据分析处理方法及弹性检测设备 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104337550B (zh) | 2018-07-06 |
| CN104337550A (zh) | 2015-02-11 |
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