WO2018184251A1 - Method and device for brain functional imaging and brain tissue component detection - Google Patents

Abstract

A method and device for brain functional imaging and brain tissue component detection. The method comprises: a knowledge base for knowledge on relations between quantum states and tissue components, tissue thermal activities, and tissue bioelectric activities is constructed and stored; an entangled state quantum pair is modulated and generated; the entangled state quantum pair is separated, one quantum is transmitted to a brain tissue being detected, and the other quantum is transmitted to a quantum state detection unit; the quantum state detection unit detects a received quantum state, records detected quantum states in a chronological order, and keeps a count; data on the activities, thermal activities, and bioelectrical activities of the brain tissue are produced by calculation utilizing the knowledge in the knowledge base and information on the quantum state produced by detection and are converted into imaging data; and an image is reconstructed by utilizing the imaging data and displayed. The reliability and accuracy of measurement data are effectively increased by utilizing a knowledge approximation method.

Description

Method and device for detecting brain function and detecting brain tissue components Technical field

The invention relates to the field of medical detection, in particular to a method and a device for detecting brain function and detecting brain tissue components.

Background technique

Medical imaging in the field of medical testing is an important auxiliary tool for medical workers to make diagnosis. Medical imaging has undergone three stages: structural imaging, functional imaging, and molecular imaging. Anatomical imaging is generally obtained by X-Ray, CT, MRI, USI, and physiological information (such as metabolic information) that cannot be observed by morphology is imaged by SPECT, PET, fMRI, and fNIRS using computer reconstruction techniques (computational imaging techniques). . Computational imaging technology is the basis for the realization of optical molecular imaging. Computational imaging technology In order to optimize measurement efficiency and maximize the information carried by each data, spatial spatial modulation and statistical models are usually included in the computational imaging and reconstruction process.

Different biological tissues have different absorption and scattering effects on different spectral bands. Different numbers of photons emitted or transmitted by different targets have different parameters of absorption and scattering of tissues and molecular cells, so as to detect the emission or transmission of targets. A certain number of photons can enable people to extract corresponding effective biological information, which is the scientific meaning given by the visualization results of molecular optical imaging technology. The further development of biological tissue photonics provides a scientific and practical physics model for the propagation of light in biological tissues. Molecular imaging detects weak electromagnetic signals or mechanical signals of specific report photon-induced reaction life characteristics in living organisms. Through signal amplification and medical image processing and analysis, human-computer interaction is used to finally realize the visualization of life processes at the molecular level. For example, physiological information usually cannot It is directly observed, but the anatomical structure is reconstructed by including X-Ray, CT, and MRI data. Physiological information, including thermal activity and bioelectrical activity, are displayed in an understandable way for medical personnel to observe. Optical molecular imaging technology has been widely used, such as blood oxygen distribution in the brain, nerve cell activity, early diagnosis of tumors, and drug targets. It is also used in gene sequencing and cytology testing.

However, in practical applications, not all brain tissue components, brain function activities and linear state information of the light quantum, such as brain tissue moisture content determination, lymphocyte count, can not guarantee the brain tissue components and brain function information The reliability and accuracy of the measured data.

Summary of the invention

The technical problem to be solved by the present invention is that in practical applications, not all brain tissue components, brain function activities and the state information of the photon are linear, so that the measurement data of the brain tissue components and brain function information cannot be reliably ensured. Degree and accuracy issues.

In order to solve the above technical problem, the technical solution adopted by the present invention is to provide a device for functional imaging and brain tissue component detection, including:

a photo quantum modulation unit for modulating and encoding a photon;

An entangled state light quantum preparation unit that modulates an optical quantum outputted by the optical quantum modulation unit to generate an entangled photon pair of one or more frequencies and counts the photon;

a firing unit that separates and emits an entangled quantum pair, one of which is emitted to the detected brain tissue;

a photon state detecting unit receives another photon emitted by the transmitting unit, detects the photon state and count, and stores the state and count of the photon in a time series manner;

Knowledge base, the establishment and storage of data structures for the relationship between light quantum states and organizational components, organizational thermal activities, and organization of bioelectrical activities;

a knowledge base training unit, opening a training interface of the knowledge base, and training the knowledge base by using the light quantum state data stored in the time series recorded by the photo quantum state detecting unit;

The calculating unit calculates the composition, thermal activity, and bioelectrical activity state data of the corresponding brain tissue by using the knowledge of the knowledge base and the state information of the photo quantum state detecting unit, and further transforms the data into data that can be used for reconstruction imaging. Imaging data

An imaging unit that reconstructs tissue composition, tissue thermal activity, and biological using the imaging data An image of the electrical activity data and displayed.

In the above apparatus, the modulation method for modulating the frequency and encoding of the optical quantum includes a frequency stepping method and a fixed frequency method.

In the above device, a photon is emitted to the brain tissue after being detected, and is subjected to reflection, refraction, scattering, absorption, and actinization, and the state of the photon is continuously changed by the tissue; the photoquantum state detecting unit detects another photon. a state in which light quantum state information into the brain tissue that is continuously changed by the brain tissue, absorbed by the brain tissue, or de-coherent with the photon emitted to the photoquantum state detecting unit is acquired.

In the above apparatus, the data schema of the knowledge of the knowledge base is organized and constructed by means including, but not limited to, a neural network or a support vector machine.

The invention also provides a method for brain function imaging and brain tissue component detection, comprising the following steps:

Step S10, establishing a knowledge base, constructing and storing knowledge of relationship between light quantum state and organizational components, tissue thermal activity, and organizing bioelectrical activities;

Step S20, modulating the photon to generate an entangled photon pair of one or more frequencies, and counting the photon;

Step S30, separating the entangled quantum pairs, and emitting one photon emission to the detected brain tissue, and another photon emission to the photon quantum state detecting unit;

Step S40: The photo-quantum state detecting unit detects another received photon state, records the detected photon state and count in time series, and trains the knowledge base by using the saved photon state data;

Step S50, using the knowledge of the knowledge base and the light quantum state information stored in a time series manner to calculate the corresponding brain tissue components, thermal activity, bioelectric activity state data, and convert the data into imaging data;

Step S60: reconstructing a medical image of the tissue component, the tissue thermal activity, and the bioelectric activity using the imaging data, and displaying.

The invention introduces a nonlinear analysis calculation method based on knowledge judgment organization component, and approximates an accurate value through a machine learning algorithm such as a neural network and a support vector machine method. The advantage of the knowledge-based approximation method is that there is a correlation between factors that do not directly act. Sex, the larger the training sample set, the more powerful and accurate the analysis capability of the present invention, and the reliability and accuracy of the measurement data are effectively improved.

DRAWINGS

1 is a structural block diagram of a device for detecting brain function and detecting brain tissue components according to the present invention;

2 is a flow chart of a method for brain function imaging and brain tissue component detection provided by the present invention.

detailed description

The invention adopts multi-wavelength entangled light photon as a detecting light source, and detects the composition of brain tissue and the thermal activity and bioelectric activity of brain tissue. Quantum entanglement is a phenomenon in which particles interact with each other in a system composed of two or more particles. It describes that two or more particles are entangled with each other. Even if they are far apart, the behavior of one particle will affect the other. The state, such as when one of the operating states changes, the other will immediately change the corresponding state. The properties of quantum entanglement can be used for information transfer, and the application of Time-Correlated Single Photon Counting Techn. (TCSPC) and Time Series recording techniques provides the possibility to continuously observe and record photon states. .

Compared with non-entangled photon imaging, traditional optical imaging, entangled photon quantum imaging has the following technical features:

(1) using multi-wavelength entangled light quanta as a detection light source;

(2) Obtaining tissue composition information and physiological information by indirectly calculating absorption spectrum and scattering spectrum;

(3) The light quantum is emitted into the tissue, and is reflected, refracted, scattered, absorbed by the tissue components. And actinic, changing the state of the photon, capturing the photon or examining the state of the photon entangled with the photon, obtaining data within the tissue, and further analyzing the computational reconstruction imaging; unlike conventional imaging based on the absorption of photons by biological tissue, the present invention is based on The statistics of the quantum state of light, by recording multiple states of the photon, finally reveal the tissue composition information and the tissue thermal activity information, which has nothing to do with the photon itself, only the photon acts as a messenger;

(4) Optical imaging is the projection of the first-order correlation information of the light field in the plane, and the dual-light quantum imaging is the projection of the second-order correlation information of the light field in the plane, and the geometrical relationship of the optical imaging and the dual-photo quantum reaction remains unchanged; It is to analyze and calculate the state information of the detected quantum to obtain the component data, thermal activity, and bioelectric activity data of the organization, and to reconstruct the image according to the calculated data; the data of the recorded state has no spatial structure information, and the spatial geometric relationship of the graphic during reconstruction imaging needs Obtained by calculation;

(5) Conventional optical imaging is described by the intensity of the light field and can be directly observed using film or digital recording; the time series description of the quantum state of the invention must be reconstructed using a computer to be observed and understood;

(6) Currently used CT, MRI, PET and other medical imaging equipment to generate two-dimensional tomographic images, using a series of two-dimensional slice images to reconstruct a three-dimensional image model for quantitative analysis, the present invention does not produce two-dimensional tomographic images, and cannot acquire biological groups And anatomical structure, image reconstruction relies on a digital human model established by CT and MRI, and physiological activity information (such as brain function activity information) is reconstructed on the digital human model in a manner that can be observed and understood.

In summary, the present invention realizes multi-band spectral detection molecular characteristic spectrum, indirectly calculates absorption spectrum of brain tissue molecules, analyzes brain tissue components by scattering spectrum, and analyzes and records brain activity to realize functional imaging and component imaging; meanwhile, the present invention is also based on The non-linear analysis and calculation method of knowledge judgment organization components, combined with machine learning algorithms (including but not limited to neural network, support vector machine method) approximation, training data to improve measurement reliability and accuracy, with training samples As the collection grows larger, the measurement becomes more powerful and accurate, and the advantage of this knowledge-based approach is that correlation can be suggested even if there is no direct effect.

The present invention will be described in detail below with reference to the drawings and specific embodiments.

As shown in FIG. 1 , the invention provides a device for brain function imaging and brain tissue component detection, which is used for brain tissue component analysis and tissue function analysis, including photo quantum modulation unit, entangled photon quantum preparation unit, emission unit, and photon quantum state. A detection unit, a knowledge base training unit, a knowledge base management unit, a calculation unit, and an imaging unit. among them,

The optical quantum modulation unit is configured to modulate and encode the optical quantum, and the modulation method includes a frequency stepping mode and a fixed frequency mode.

An entangled photon quantum preparation unit processes the photon outputted by the optical quantum modulation unit to generate an entangled photon pair A(a1, a2) of one or more frequencies, and counts the photon, since the optical quantum entanglement is not 100% entangled, Probabilistic events, by counting the quantum of light, can be used to perform probability statistics, thereby statistically coherent probability, or entanglement probability.

The transmitting unit separates the entangled quantum pair A, one photon a1 is emitted to the detected brain tissue, and the other photon a2 is emitted to the photoquantum state detecting unit.

The photon state detecting unit detects the received photon a2 state and count, and records the photon state and count, and the recorded photon state and count are stored in a time series manner.

In the present invention, the photon a1 enters the brain tissue and is subjected to reflection, refraction, scattering, absorption, and actinization. The state of the photon a1 is continuously changed by the tissue or absorbed or decohered by the brain tissue, and the photon state detecting unit detects the photon a2 state. The a1 state information is acquired, and the state of a1 has temporal correlation, and the state of a1 (a1) is recorded in a time series manner.

When the photon a2 and the photon a1 are in an entangled state, observing the photon a2 state (a2) can obtain the state information (a1) of the photon a1, that is, one photon state changes, and the other state also changes, when the photon a2 and the photon a1 disappear. Coherently, after becoming a non-entangled photon quantum, one photon state changes and the other state does not change.

Knowledge base, the establishment and storage of data structures of light quantum states and organizational components, organizational thermal activities, and knowledge of the relationship between bioelectrical activities, the data structure of this knowledge through neural networks or support The machine learning engine training knowledge model method such as measuring machine is organized and constructed; for example, the knowledge of blood oxygen concentration relationship is analyzed by near-infrared absorption spectrum.

The knowledge base training unit opens the training interface of the knowledge base and trains the knowledge base by using the light quantum state data (a2) stored in the time series recorded by the light quantum state detecting unit; the knowledge base training unit is the training engine of the knowledge base, and is the construction knowledge The mathematical model of the library matches the machine learning model.

The calculation unit calculates the composition, thermal activity, and bioelectric activity state data of the corresponding brain tissue by using the knowledge of the knowledge base and the state information (a2) of the photoquant state detection unit, and further converts the data into an image that can be used for reconstruction imaging. data. In the present invention, the state information (a2) of the photon is not linearly related to the composition, thermal activity, and bioelectrical activity state of the brain tissue, but is calculated by the correlation established by the knowledge base based on the empirical calculation method. Through continuous training, the empirical calculation method will increase with the amount of machine learning and training samples, so that the calculation results will become more and more accurate, so as to meet the requirements of general disease qualitative diagnosis and general fine-grain quantitative diagnosis, such as brain tissue moisture content determination, Lymphocyte count.

The imaging unit reconstructs the medical image by using the imaging data, and realizes that the tissue composition, the tissue thermal activity, and the bioelectric activity data are presented to the medical staff in an understandable manner.

The invention introduces a nonlinear analysis calculation method based on knowledge judgment organization component, and approximates an accurate value through a machine learning algorithm (including but not limited to, for example, a neural network, a support vector machine method), and the advantage of the knowledge-based approximation method is that even if there is no direct effect There is also a correlation between the factors. The larger the training sample set, the more powerful and accurate the analysis capability of the present invention is, and the reliability and accuracy of the measurement data are effectively improved.

As shown in FIG. 2, the present invention provides a method for brain function imaging and brain tissue component detection, comprising the following steps:

Step S10: Establish a knowledge base, and establish and store knowledge about the relationship between the quantum state of the light and the tissue composition, the tissue thermal activity, and the organization of the bioelectric activity.

Step S20, modulating the photon to generate an entangled photon of one or more frequencies Pair, light quantum pulses, and count the light quanta.

Step S30, separating the entangled quantum pair and the optical quantum pulse, one photon a1 is emitted to the detected brain tissue, and the other photon is emitted to the photon quantum state detecting unit.

Step S40: The photon state detecting unit detects the received other photon state, records the detected photon state and count in time series, and trains the knowledge base using the saved photon state data.

Step S50: calculating the composition, thermal activity, and bioelectric activity state data of the corresponding brain tissue by using the knowledge of the knowledge base and the state information of the photo quantum state detecting unit, and further converting the data into imaging data that can be used for reconstructing imaging.

Step S60: reconstructing the medical image by using the imaging data, and realizing the tissue composition, the tissue thermal activity, and the bioelectric activity data to be displayed to the medical staff in an understandable manner, for example, rebuilding the virtual person by the computer, and reconstructing the composition of the tissue and the tissue heat on the basis of the virtual person. Activity, biological nerve activity image.

It is apparent that those skilled in the art can make various modifications and variations to the invention without departing from the spirit and scope of the invention. Thus, it is intended that the present invention cover the modifications and modifications of the invention

Claims (5)

A device for brain function imaging and brain tissue component detection, comprising: a photo quantum modulation unit for modulating and encoding a photon; An entangled state light quantum preparation unit that modulates an optical quantum outputted by the optical quantum modulation unit to generate an entangled photon pair of one or more frequencies and counts the photon; a firing unit that separates and emits an entangled quantum pair, one of which is emitted to the detected brain tissue; a photon state detecting unit receives another photon emitted by the transmitting unit, detects the photon state and count, and stores the state and count of the photon in a time series manner; Knowledge base, the establishment and storage of data structures for the relationship between light quantum states and organizational components, organizational thermal activities, and organization of bioelectrical activities; a knowledge base training unit, opening a training interface of the knowledge base, and training the knowledge base by using the light quantum state data stored in the time series recorded by the photo quantum state detecting unit; The calculating unit calculates the composition, thermal activity, and bioelectrical activity state data of the corresponding brain tissue by using the knowledge of the knowledge base and the state information of the photo quantum state detecting unit, and further transforms the data into data that can be used for reconstruction imaging. Imaging data An imaging unit that reconstructs and displays an image of tissue composition, tissue thermal activity, bioelectric activity data using the imaging data. The apparatus of claim 1 wherein the modulation of the frequency and encoding of the optical quantum comprises a frequency stepping mode and a fixed frequency mode. The device according to claim 1, wherein a photon is emitted to the brain tissue after being detected into the brain tissue, including reflection, refraction, scattering, absorption, and actinic, and the state of the photon is continuously changed by the tissue; The photo-quantum state detecting unit detects the state of another photon, thereby acquiring photo-quantum state information that is continuously changed by the brain tissue, absorbed by the brain tissue, or de-cohered with the photon emitted to the photo-quantity state detecting unit. The apparatus of claim 1 wherein said knowledge base of said knowledge base The data architecture is organized by means of, but not limited to, neural networks or support vector machines. A method for brain function imaging and brain tissue component detection, comprising the steps of: Step S10, establishing a knowledge base, constructing and storing knowledge of relationship between light quantum state and organizational components, tissue thermal activity, and organizing bioelectrical activities; Step S20, modulating the photon to generate an entangled photon pair of one or more frequencies, and counting the photon; Step S30, separating the entangled quantum pairs, and emitting one photon emission to the detected brain tissue, and another photon emission to the photon quantum state detecting unit; Step S40: The photo-quantum state detecting unit detects another received photon state, records the detected photon state and count in time series, and trains the knowledge base by using the saved photon state data; Step S50, using the knowledge of the knowledge base and the light quantum state information stored in a time series manner to calculate the corresponding brain tissue components, thermal activity, bioelectric activity state data, and convert the data into imaging data; Step S60: reconstructing a medical image of the tissue component, the tissue thermal activity, and the bioelectric activity using the imaging data, and displaying.

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