AU2021102564A4 - HCT based Near infrared Brain Function Imager 3D Analysis System - Google Patents

Abstract

The present invention relates to a brain function detection system, and specifically to an HCT-based near-infrared brain function imager 3D analysis system, including: a near-infrared brain imaging device configured to collect infrared waveform signals of a subject to generate an infrared brain imaging spectrum; an HCT cognitive task module configured to provide a subject with a high-level cognitive task; a storage module configured to store the infrared brain imaging spectrum generated by the near infrared brain imaging device; and an atlas analysis module configured to analyze and calculate the infrared brain imaging spectrum collected by the near-infrared brain imaging device The high-level cognitive task includes memory training, calculation training, logical thinking training, abstract thinking training and reverse thinking training, which are used for comprehensive evaluation of the judgment ability, language ability, attention, thinking ability, combination ability, imagination ability of the subject. The HCT infrared brain imaging device of the present invention collects an atlas based on the HCT cognitive task module and can realize more significant brain imaging atlas collection.

Description

HCT-based Near-infrared Brain Function Imager 3D Analysis System

TECHNICAL FIELD

The present invention relates to a brain function detection system, and

specifically to an HCT-based near-infrared brain function imager 3D analysis

system.

BACKGROUND

Since the 1970s, near-infrared spectroscopy (NIRS) has become a

non-invasive technology for measuring a blood oxygen level in a living body.

This technology uses changes in light intensity caused by hemoglobin to

measure a blood oxygen level in local tissues. Frans J6bsis was the creator of

the NIRS of a living body. In 1977, Frans J6bsis published that transmission

spectroscopy was used to detect oxyhemoglobin non-invasively in real time.

After it was discovered in 1992 that near-infrared spectroscopy (NIRS) could

detect human cerebral cortex functional activities (changes in a blood oxygen

level), the technology has been rapidly developed in brain function research

and clinical applications. This technology uses the sound penetration of

near-infrared light for a living body, and transmits near-infrared light via an

optical fiber probe to penetrate cerebral cortex and reflects the near-infrared

light back to a receiving probe. While light absorption changes, changes in the

concentration of local blood oxygen (oxy-Hb and Deoxy-Hb) are detected. This

technology is considered to be an indirect measurement of neural activities in

the cerebral cortex and achieves simultaneous detection of a plurality of

channels of different brain areas, thereby achieving an objective of studying

advanced brain functions. Currently, this technology is widely used in

neurocognitive science, psychology, neurofeedback, brain function positioning, epilepsy, rehabilitation, pediatric research, sensory cognitive ability, psychiatry and the like, and gradually moves from scientific research to clinical medicine.

As a non-invasive functional neuroimaging technology, the NIRS can provide

hemodynamic information related to brain function activities in addition to

electrophysiological signals, which is of great significance for the early

diagnosis and treatment of psychiatric diseases.

The NIRS measurement reflects the weakening of oxyhemoglobin, which

is a relatively "static" balance between oxygen supply and consumption in local

tissues, and has a certain hysteresis in response to dynamic changes in the

cerebral cortex. However, there is currently a lack of objective tools for

comprehensive evaluation of cerebral hemodynamics. In recent years, a

"dynamic" NIRS technology has been developed, and is called diffuse light

correlation spectroscopy (DCS). Compared to the NIRS technology that

measures changes in light intensity, DCS uses time autocorrelation methods to

quickly estimate light field perturbation caused by red blood cell movement and

is new technology for directly measuring blood flow of tissues. In addition,

combination of DCS blood flow and NIRS blood oxygen can calculate the

blood oxygen metabolism rate to obtain a comprehensive brain function state.

However, when the near-infrared brain imager in the prior art collects an

atlas, the obtained atlas is generally difficult to identify. The identification and

understanding of the atlas are relatively cumbersome and cannot play a

greater role in clinical practice. Moreover, NIRS data can only be displayed by

a 2D curve, which cannot provide a more vivid and intuitive display of atlas

results for a diagnostician.

SUMMARY

The present invention overcomes the shortcomings of the prior art, and

the technical problem to be solved is to provide an HCT-based near-infrared

brain function imager 3D analysis system to achieve more significant brain

imaging atlas collection.

To solve the forgoing technical problems, the technical solution of the

present invention is to provide an HCT-based near-infrared brain function

imager 3D analysis system, including:

A NIRS apparatus, configured to collect infrared waveform signals of a

subject to generate an infrared brain imaging spectrum.

An HCT cognitive task module, configured to provide a subject with a

high-level cognitive task.

A brain image scanner, configured to collect brain image data of the

subject.

A 3D image reconstruction unit, configured to generate an anatomical 3D

image of the subject's brain tissues based on the subject's brain image data

collected by the brain image scanner.

A data fusion module, configured to perform data fusion on the brain

tissue anatomical 3D image generated by the 3D image reconstruction unit

and the infrared brain imaging spectrum collected by the NIRS apparatus to

generate an image data fusion atlas, where the image data fusion atlas is

marked with each channel site collected by the NIRS apparatus, and a

hemoglobin concentration characteristic value in the infrared brain imaging

spectrum corresponding to each channel is marked on the corresponding

channel site.

The HCT cognitive task module includes a memory training module, a

calculation training module, a logical thinking training module, an abstract

thinking training module, and a reverse thinking training module, which are

used to provide the subject with memory training, calculation training, logical

thinking training, abstract thinking training and reverse thinking training.

The HCT cognitive task module further includes:

A task display unit, configured to display the high-level cognitive task to

the subject in a period of time.

A feedback input unit: configured to input corresponding feedback

information according to the high-level cognitive task by the subject.

A synchronization control module, configured to control the start of the

infrared brain imaging device according to the period of time to collect and

generate the infrared brain imaging spectrum.

The HCT-based near-infrared brain function imager 3D analysis system

further includes:

an atlas analysis module, configured to analyze and calculate the infrared

brain imaging spectrum collected by the near-infrared brain imaging device to

obtain the average waveform, slope, integral value and center of gravity value

of the subject's infrared brain imaging spectrum, and a spectrogram.

The HCT-based near-infrared brain function imager 3D analysis system

further includes:

An output display module, configured to display an infrared brain imaging

atlas collected by the near-infrared brain imaging device, a calculation result of

the atlas analysis module and the image data fusion atlas generated by the

data fusion module;

A data marking module, configured to input a channel corresponding to

the data atlas and anatomical 3D image site information of the channel in a

brain tissue.

The spectrum collected by the NIRS apparatus includes a resting state

atlas and an HCT task state atlas. The resting state atlas and the HCT task

state atlas are the atlases collected when the subject is in a taskless state and

a high-level cognitive task state, respectively.

The image data fusion atlas displayed by the output display module

includes a resting state oxyhemoglobin fusion atlas, a resting state total

hemoglobin fusion atlas, an HCT task state oxyhemoglobin fusion atlas.

The brain image scanner includes a MRI scanner and a CT scanning

device.

The model of the MRI scanner is PHILIPS-RTEC3L4, Netherlands, and its

scanning parameters are 3D-T1WI: 1 mm of layer thickness, FOV

256x256x256, TR 7.9, TE 3.9; 3D-Flair: 1 mm of layer thickness, FOV 200

x232x180, TR 5000, TE 366.8;

The model of the CT scanning device is PHILIPS-BRILLIANCE 64,

Netherlands, and its scanning parameters: 0.625 mm of layer thickness, FOV

256x256x256.

The 3D image reconstruction unit generates the anatomical 3D image of

the subject's brain tissue based on 3D-Slicer software. A specific method is as

follows:

Importing DICOM format data of the MRI scanner into the 3D-Slicer

software in turn, and first adjusting grayness in a 2D window until brain

anatomical structures of an axial position, a sagittal position, and a coronal position can be can continuously observed.

Then operating Registration module to register 3D-TWI, 3D-Flair, and CT

images scanned at different times.

After successful registration, sequentially operating 3D-TiWI sequence

reconstruction scalp, 3D-Flair reconstruction brain parenchyma, CT image

reconstruction skull and the like in a 3D window via Volume, Volume

Rendering and Segment Editor modules, and then viewing the 3D-T1WI

sequence reconstruction scalp, the 3D-Flair reconstruction brain parenchyma,

the CT image reconstruction skull and the like simultaneously in the 2D

window and the 3D window.

Adjusting transparency and a threshold value to display and view the

positional relationship among a channel site, a skull and a brain sulcus layer by

layer.

The image data fusion atlas uses color rendering to mark a hemoglobin

concentration characteristic value in the infrared brain imaging spectrum

corresponding to each channel site collected by the NIRS apparatus, where

the characteristic value is an integral value of oxyhemoglobin or

deoxyhemoglobin.

The infrared brain imaging spectra collected and generated by theNIRS

apparatus include an oxyhemoglobin change atlas and a deoxyhemoglobin

concentration change atlas of a brain's frontal and temporal lobes.

Compared with the prior art, the present invention has the following

beneficial effects: The present invention provides an HCT-based near-infrared

brain function imager 3D analysis system, which collects infrared brain

imaging spectrum of a subject based on an HCT cognitive task module, The

HCT cognitive task module selects advanced mode training for a patient from

easy to difficult, including memory training, calculation training, logical thinking

training, abstract thinking training, reverse thinking training, and the like. The

HCT cognitive task module comprehensively evaluates the patient's judgment

ability, language ability, attention, thinking ability, combination ability,

imagination ability, and the like. By collecting infrared spectrum data of the

brain's frontal and temporal lobes after cognitive training, experiments have

confirmed that an HCT infrared brain imaging device of the present invention

can achieve more significant brain imaging atlas collection. In addition, the

present invention generates an anatomical 3D image of a brain tissue by

combining brain image data collected by a brain image scanner, and fuses a

brain imaging atlas and the brain image data via a data fusion module to

generate an image data fusion atlas, which can intuitively view the brain

function of the subject, and improves the reading speed of a doctor on test

results.

BRIEF DESCRIPTION OF FIGURES

FIG. 1 is a structural block diagram of an HCT-based near-infrared brain

function imager 3D analysis system according to an embodiment of the

present invention;

FIG. 2 is an average waveform diagram of a channel collected in an

embodiment of the present invention;

FIG. 3 is a change waveform of hemoglobin concentration under a VFT

task;

FIG. 4 is a change waveform of hemoglobin concentration under a

high-level cognitive task HCT;

FIG. 5 is a change waveform of hemoglobin concentration of 10 people

under a VFT task state;

FIG. 6 is a change waveform of hemoglobin concentration of 10 people

under an HCT task state;

FIG. 7 is an average spectrogram diagram of a change curve of prefrontal

lobe oxyhemoglobin concentration 6[HbO2] of 10 people under a VFT task

state;

FIG. 8 is an average spectrogram diagram of a change curve of

oxyhemoglobin concentration 6[HbO2] of prefrontal lobes of 10 people under

an HCT task state;

FIG. 9 is an anatomical 3D image of a brain tissue of a subject generated

by a 3D image reconstruction unit;

FIG. 10 is a 3D image after a channel site is marked;

FIG. 11 is a resting state brain function diagram output and displayed by

an output display module; and

FIG. 12 is a HCT state brain function diagram output and displayed by an

output display module.

DESCRIPTION OF THE INVENTION

In order to make the objectives, technical solutions, and advantages of the

embodiments of the present invention clearer, the technical solutions in

embodiments of the present invention are described below clearly and

completely. Obviously, the described embodiments are part of the

embodiments of the present invention, not all the embodiments. Based on the

embodiments of the present invention, all other embodiments obtained by the

person skilled in the art without inventive labor fall within the protection scope of the present invention.

As shown in FIG. 1, an embodiment of the present invention provided an

HCT-based near-infrared brain function imager 3D analysis system, including:

A NIRS apparatus, configured to collect infrared waveform signals of a

subject to generate an infrared brain imaging spectrum.

An HCT cognitive task module, configured to provide a subject with a

high-level cognitive task.

A brain image scanner, configured to collect brain image data of the

subject.

A 3D image reconstruction unit, configured to generate an anatomical 3D

image of the subject's brain tissues based on the subject's brain image data

collected by the brain image scanner.

A data fusion module, configured to perform data fusion on the brain

tissue anatomical 3D image generated by the 3D image reconstruction unit

and the infrared brain imaging spectrum collected by the NIRS apparatus to

generate an image data fusion atlas, where the image data fusion atlas was

marked with each channel site collected by the NIRS apparatus, and a

hemoglobin concentration characteristic value in the infrared brain imaging

spectrum corresponding to each channel was marked on the corresponding

channel site.

Specifically, in the embodiment, the spectrum collected by the NIRS

apparatus included a resting state atlas and an HCT task state atlas. The

resting state atlas and the HCT task state atlas were the atlases collected

when the subject is in a taskless state and a high-level cognitive task state,

respectively. The infrared brain imaging spectra collected and generated by the NIRS apparatus included an oxyhemoglobin change atlas and a deoxyhemoglobin concentration change atlas of a brain's frontal and temporal lobes.

Bloom divided targets of a cognitive domain into six levels: memorization,

understanding, application, analysis, synthesis and evaluation. Cognitive

ability was divided into basic cognitive ability and advanced cognitive ability.

Professor Cai Shushan of the Department of Psychology of Tsinghua

University explained the increasing development of cognitive science: human

cognition is divided into five levels from elementary to advanced: neural-level

cognition, psychological-level cognition, language-level cognition,

thinking-level cognition, and culture-level cognition, which are referred to as

neurocognition, psychological cognition, language cognition, thinking cognition,

and cultural cognition. So far, the human cognition could only and should be

included in these five orders. The first two orders of cognition, namely

neurocognition and psychological cognition, were shared by humans and

animals, and called "lower-order cognition", and the latter three orders of

cognition were unique to humans, and called "lower-order cognition". Five

orders of cognition formed one sequence: neurocognition - psychological

cognition - language cognition - thinking cognition - cultural cognition. In this

sequence, the low-level cognition was the basis of the high-level cognition.

The high-level cognition included and affected the lower-level cognition.

According to the book "PEAK Secrets from the New Science of Expertise"

written by Anders Ericsson and Robert Pool in the United States, researchers

chose advanced mode training for a patient from easy to difficult, including

memory training, calculation training, logical thinking training, abstract thinking training, and reverse thinking training, the like, and comprehensively evaluated the patient's judgment ability, language ability, attention, thinking ability, combination ability, imagination ability, and the like.

The HCT in the forgoing HCT cognitive task module was derived from a

high level of cognition task (HCT). Specifically, in this embodiment, the HCT

cognitive task module included modules for providing the subject with the tasks

of the memory training, the calculation training, the logical thinking training, the

abstract thinking training, and the reverse thinking training to comprehensively

evaluated the subject's judgment ability, language ability, attention, thinking

ability, combination ability, and imagination ability. The following separately

introduced each task module in the HCT cognitive task module of the present

invention.

1. A memory training module, configured to provide the subject with tasks

related to testing and training memory. There was a plurality of following

methods for the memory training:

(1). An alternate memory method which was also called distributed

memory emphasis head-to-tail memory method. The method allocated and

alternately memorized memorizing materials of different properties according

to time. A method included the following steps: putting important things at the

beginning and end to remember; memorizing large pieces of the materials;

adopting a segmented memory method; evenly distributing review power;

organizing the memorizing materials reasonably; trying to make adjacent

learning contents completely different; preventing the occurrence of inhibition;

and arranging the time reasonably. Two "golden hours" in the morning and

evening should not be missed. In a long study period, rest was needed between the two golden hours.

(2). A self-test memory method which was a method to enhance memory

by testing yourself. The self-test memory methods were divided into a plurality

of method as follows: 1) regular tests. In terms of time, the tests could be

divided into two types: a same day test and a Sunday test. Course contents

could be divided into two types: a unit test and a whole book test. 2) Writing

silently for self-test Silent writing of text symbols was more effective than

memorizing without writing. This was because the concentration of attention

and the active thinking of the brain during dictation inevitably consolidated

memorized knowledge. 3) Asking yourself and answering questions. The

subject asked and answered questions from a plurality of angles, and received

unexpected results. Setting up questions and answering could make people

further clarify the objective of learning and enhance their interest in learning.

(3). A systematic memory method: according to the systematic nature of

scientific knowledge, knowledge was organized into chapters, and weaved into

nets. The knowledge was organized, was systematized, and leaved deep

marks in the brain. Often, the subject could also use a list comparison method.

Memory was a storehouse of wisdom, and all kinds of knowledge should be

placed in positions where it should be placed.

(4). An arguing memory method which was a method to strengthen the

memory by arguing and discussing the memorizing materials with others. On

the one hand, the subject listened to the other party's opinions intensively and

analyzed the right and the wrong simultaneously. On the other hand, the

subject thought positively, commented on the other party's opinions, and

expounded his views. In this case, information input into the brain was easy to leave a deeper impression. The following points should be paid attention to when the arguing memory method was used: motivation should be correct and attitude should be correct. The method should be right.

(5). An understanding memory method: understanding was the key and

the basis of the memory. To understand, the subject should analyze and judge

memory contents. The subject grasped their internal logical connections and

hierarchical relationships, and grasped the key to the essence of the content.

(6). A trying recall method which tested yourself constantly in the process

of memorizing. There were many methods to take the test, mainly using one's

retelling, self-writing, and the like. The subject could understand his memory in

learning in time. The objective of trying to recall was to reproduce readings

word by word, which could encourage oneself to read word by word, and aim

at materials that had not been memorized.

(7). A recitation memory method: a memory method that used a feedback

effect to try to recite was called the recitation memory method. Experiments

have shown that allowing memorizers to understand their own memory effects,

that is, giving feedback of information, could often improve memory effects.

Each attempt to recite was to give a feedback of the memory information to

improve the self-consciousness and initiative of the memory.

(8). A comparative memory method which compared and analyzed similar

but different memorizing materials to find out their similarities and differences

for memorization. The subject comprehensively, accurately, and profoundly

memorized the materials. The accuracy of the memory was directly related to

initial recognition, and comparison was the key to accurate memory.

2. A calculation ability training module, configured to provide the subject with tasks for testing and training calculation ability.

Strengthening calculation training was the basis for improving the

calculation ability. Calculations should go through a series of thinking activities

such as observation, comparison, and imagination. The subject learned to

think independently, showed the results of different levels of thinking, and

summarized. Diverse algorithms should be optimized in time to find simple,

easy, and fast methods to guide learning to perform comparison and

communication, to feel and understand the pros and cons of different methods,

and to make reasonable selection and evaluation. The subject was stimulated

the desire and interest in learning and created a space for independent

exploration. Students were given initiative of learning, and obtained personal

experience in practice.

3. An abstract thinking training module, configured to provide the subject

with tasks for testing and training the subject' abstract thinking ability.

The abstract thinking was the main function of a left hemisphere of the

brain. In current learning activities of various courses in a school, a large

number of reading, writing and arithmetic, namely reading, writing, calculation,

analysis, logical reasoning, verbal communication and the like, were carried

out. Their processes were mainly based on language, logic, numbers and

symbols as media and dominated by the abstract thinking. The following five

points were focused: learning and using scientific concepts and theories and

conceptual systems; mastering and using language systems; focusing on the

learning and use of scientific symbols; closely cooperating with the basic

methods of the thinking; and performing joint training of an abstract memory

method, an understanding memory method and their derivative methods, which could play a better effect of mutual promotion.

4. A reverse thinking training module, configured to provide the subject

with tasks for testing and training the reverse thinking ability.

Reverse thinking was a method of thinking that thinks about

commonplace things or viewpoints in reverse, thinking from an opposite

direction of a problem and creating new thinking. The reverse thinking was

always opposite to ordinary people's thinking orientation. The reverse thinking

was divided into three methods: a conditional reverse thinking, a process

reverse thinking and a positional reverse thinking. The conditional reverse

thinking was based on the dependence of things. Relationships between front

and back, left and right, up and down, and size were reversed for reverse

thinking. The process reversal thinking was a comparative thinking from the

perspective of changes in a matter state, that is, when you saw a change from

one state to another, you thought about an opposite change. The positional

reverse thinking was to carry out contrapositive operation and structure

transformation of two different types of known things or certain aspects of

attributes to achieve the ability of invention and creation. Results were inferred

in a reverse mode to achieve the objective of simplifying the problem.

5. A logical thinking training module, configured to provide the subject with

tasks for testing or training the logical thinking ability.

In the training of logical thinking, the technical contents of a logical

analysis theory were continuously improved through symbolization and

formalization. The technical contents in logical analysis were continuously

reduced with non-form and non-thinking, closer to self-identified language,

closer to daily thinking, and more focused on non-technical daily logical thinking ability training.

There were three types of basic logic courses. The first type of the basic

logic course was "mathematical Logic", whose main contents were basic

branches of first-stage logic and modern logic. The second type of the basic

logic course was "introduction to logic", which was a mixture of traditional logic

and modern logic. The third type of the basic logic course was the so-called

"critical thinking", whose main objective was to train thinking to improve the

ability of daily thinking.

Further, as shown in FIG. 1, the HCT cognitive task module further

includes:

A task display unit, configured to display the high-level cognitive task to

the subject in a period of time.

A feedback input unit, configured to input corresponding feedback

information by the subject according to the high-level cognitive task.

A synchronization control module, configured to control the start of the

infrared brain imaging device according to the period of time to collect and

generate the infrared brain imaging spectrum.

Further, as shown in FIG. 1, the HCT-based near-infrared brain function

imager 3D analysis system provided by this embodiment further includes:

An atlas analysis module, configured to analyze and calculate the infrared

brain imaging spectrum collected by the near-infrared brain imaging device to

obtain the average waveform, slope, integral value and center of gravity value

of the subject's infrared brain imaging spectrum, and a spectrogram.

An output display module, configured to display an infrared brain imaging

atlas collected by the near-infrared brain imaging device, a calculation result of the atlas analysis module and the image data fusion atlas generated by the data fusion module.

A data marking module, configured to input a channel corresponding to

the data atlas and anatomical 3D image site information of the channel in a

brain tissue.

The following described a data processing process in the embodiment of

the present invention with reference to FIG. 2.

FIG. 2 was an average waveform of the channel collected in the

embodiment of the present invention. In the figure, a horizontal axis

represented time, and a vertical axis represented concentration changes

(mMmm) of oxyhemoglobin and deoxyhemoglobin, respectively. The left line

Li indicated the beginning of a language fluency project (the task's start time),

prompting a first initial word. The right line L2 indicated the end of a third initial

grouping word (the task's end time), and instructions were repeated to the

subject to speak. A positive value in the figure indicated that the amount of

reaction increased relatively since the beginning of the project, and a negative

value indicated that the amount of reaction decreased relatively. There were

three parameters that needed to be paid attention to. The three parameters

were a reaction speed (initial activation) within the first 5 seconds of the project,

the size (integral value) of a project activation response, and reaction time

(center of gravity value) found through an entire inspection process.

The 10 seconds from 10 seconds before the task started to the task's start

time (tO) was defined as a baseline period. 60 seconds from the task's start

time (tO) to the task's end time was defined as a task period. 55 seconds after

the task'end time was defined as a recovery period.

Measurement variables: oxyhemoglobin concentration change value

A[HbO2], deoxyhemoglobin concentration change value A[Hb], total

hemoglobin concentration change value ATHC; where A[HbO2] and A[Hb]

were calculated by the light intensity signals collected by each channel

according to Modified Beer-Lambert law, ATHC was the sum of the forgoing

two; the units of the forgoing three variables are: millimole per liter (mmol/L) for

each measurement variable (A[HbO2], A[Hb ] or ATHC). The following

parameters were calculated: slope, integral value and center of gravity value.

These three parameters were used as evaluation parameters to evaluate the

infrared brain imaging spectrum.

The slope was defined as the average change rate of the variable within 5

seconds at the beginning of the task, that was, sl = [V(t+5)-V(t)]/5; where V

was the measurement variable, and tO (unit: second) was the task's start time.

The slope represented a blood oxygen sensitivity degree of the initial activation

of the task.

The integral value was the superimposed sum of the measurement

variables in the 60-second task period, that was, an area enclosed by the

concentration curves of oxyhemoglobin and deoxyhemoglobin at the task's

start time and the task's end time (the two vertical lines Li and L2 in the figure

above). The integral value represented the size of a blood oxygen response

activated by the task.

The center of gravity value was a central moment at which the blood

oxygen response (i.e., an oxyhemoglobin curve) of the entire task (including

the 10-second baseline period, the 60-second task period, and the 55-second

recovery period) was equally divided into two. A calculation process was as follows: the measurement variables were integrated in the entire task process

(10 seconds + 60 seconds + 55 seconds) to obtain a total integral value, and

then find a first moment (shown by the dotted line L3 in the figure above) when

the integral value reached half of the total integral value. That was, the integral

value of the measurement variable before the center of gravity value (that is,

from the beginning of the baseline period to the center of gravity value) and the

integral value after the center of gravity value (that is, from the center of gravity

to the end of the recovery period) were exactly the same. The center of gravity

value represented blood oxygen reaction time of task activation.

In the embodiment of the present invention, oxyhemoglobin concentration,

deoxyhemoglobin concentration, total hemoglobin concentration (i.e., 6[HbO2],

6[Hb] and THC) of the task state of the high-level cognitive task HCT as well as

the task state and resting state of VFT (Fluency of Language Task) were

collected by the near-infrared brain imaging device. The integral values, center

of gravities and slopes of the frontal and temporal lobes. Parameters such as

centroid and integral values were calculated from these oxygenation variables.

Average values of oxygenation data of near-infrared signals of a prefrontal

lobe and the temporal lobe were taken, respectively. In an experimental

example of the present invention, three sample groups were used, namely, a

VFT group, a HCT group, and a normal control group, with 10 people in each

group.

FIG. 3 shows a change waveform of hemoglobin concentration under the

VFT task. In FIG. 3, two curves represented oxyhemoglobin concentration and

deoxyhemoglobin concentration, respectively. The numbers in the figure

indicated the integral value. FIG. 3(a) was a change waveform of hemoglobin concentration of normal people, and FIG. 3(b) was a change waveform of hemoglobin concentration of a patient with acute anxiety and depression.

FIG. 4 showed a change waveform of hemoglobin concentration under the

high-level cognitive task HCT in the embodiment of the present invention. FIG.

4(a) was the change waveform of the hemoglobin concentration of normal

people, and FIG. 4(b) was the change waveform of the hemoglobin

concentration of the patient with acute anxiety and depression.

FIG. 5 showed a change waveform of an average hemoglobin

concentration of 10 people under the VFT task. FIG. 5(a) was a change

waveform of an average hemoglobin concentration of 10 normal people, and

FIG.5(b) is a change waveform of an average hemoglobin concentration of 10

patients with acute anxiety and depression.

FIG. 6 showed a change waveform of an average hemoglobin

concentration of 10 people under the high-level cognitive task of the

embodiment of the present invention. FIG. 6(a) was the change waveform of

the average hemoglobin concentration of 10 normal people, and FIG. 6(b) is

the change waveform of the average hemoglobin concentration of 10 patients

with acute anxiety and depression.

The numbers in FIGS. 3 to 6 indicated the integral value, that was, an

area enclosed by the oxyhemoglobin concentration curve and the horizontal

axis.

For 90% of the research subjects, study found that under both the VFT

task and the HCT task, the oxyhemoglobin concentration 6[HbO2] increased

significantly, and the deoxyhemoglobin concentration 6[Hb] decreased

relatively small. Statistical analysis showed that the HCT activates more oxygenation than the VFT, and the integral value of oxyhemoglobin concentration 6[HbO2] was larger, indicating that the brain function of the research subject was active. On average, when an HCT solution was used, the integral value of the 6[HbO2] of A&D patients varied greatly in an acute phase, a consolidation phase, and a maintenance phase. The integral values of the oxyhemoglobin concentration 6[HbO2] of the maintenance period, the consolidation period and the acute period in a descending order were provided.

In addition, the responses of the prefrontal and temporal lobes to the HCT

solution were more consistent than those to the VFT solution. Under the VFT

solution, there was no significant difference in the integral values of the

prefrontal lobe and the temporal lobe in the acute phase, the consolidation

phase, and the maintenance phase.

The forgoing experiments proved that the high-level cognitive task HCT

was more involved in the brain function, and activated more oxygenation

changes in a frontal cortex. In addition, according to the curve of

oxyhemoglobin concentration 6[HbO2], since an infrared brain imaging atlas

collection device of the embodiment of the present invention adopted the

high-level cognitive task HCT for collecting the infrared brain imaging spectrum,

the collected spectrum had a relatively good staging identification ability and

had potential to evaluate an therapeutic effect of the A&D patients.

FIGS. 7 and 8 showed an average spectrogram of a change curve of the

oxyhemoglobin concentration 6[HbO2] of the prefrontal lobes of 10 people

under a VFT state and under an HCT state, respectively. Where, (a) is a

normal person, (b) is a depressed patient, and (c) is an anxious and depressed

patient. The numbers in the figure indicated the frequency and amplitude of the peak.

The amplitudes of the normal people, the depressed patient, and the

anxious and depressed patient shown in FIGS. 7 to 8 decreased with an

increase in frequency. FIG. 7 showed that in the VFT state, three sets of the

spectrograms had small amplitude changes. The order of amplitude from high

to low was as follows: the anxious and depressed patient, the depressed

patient, and the normal people. FIG. 8 showed that when the HCT was

performed, firstly, the amplitudes of the three groups were higher than the VFT,

with the highest in normal people, followed by the patient with anxiety and

depression, and the lowest in the patient with depression; secondly, all three

groups had a middle peak, that was, a frequency diagram under the HCT had

a characteristic value index - the middle peak, indicating that the brain function

of the patient with mental illness had oscillation waves with a special frequency.

The results in FIGS. 7 to 8 showed that under the HCT state, there were

significant differences in hemoglobin changes in the three groups of patients.

The brain activation of the patient was weaker than that of normal people.

There was a curve wave of a certain frequency in brain activities. With the

significance of the middle peak, the middle peak of the patient with depression

was the most prominent, with the highest significance, followed by the patient

with anxiety and depression. The middle peak of the normal people was the

least significant. Combining FIGS. 7 and 8, it was verified that an HCT-based

infrared brain imaging atlas collection device of the present invention could

enhance power spectrum characteristics of an infrared brain imaging atlas by

using the high-level cognitive task HCT.

Specifically, in the embodiment of the present invention, the brain image scanner includes the MRI scanner and the CT scanning device. The model of the MRI scanner was PHILIPS-RTEC3L4, Netherlands, and its scanning parameters were 3D-TiWI: 1 mm of layer thickness, FOV 256x256x256, TR

7.9, TE 3.9; 3D-Flair: 1 mm layer thickness, FOV 200 x232x180, TR 5000, TE

366.8. The model of the CT scanning device was PHILIPS-BRILLIANCE 64,

Netherlands, and its scanning parameters: 0.625 mm of layer thickness, FOV

256x256x256. The NIRS apparatus used a 52-channel NIRS device - a brain

function quantitative imaging device ETG-4000 produced by Hitachi Medical. a

3x11 probe holder was configured in a symmetrical manner according to the

EEG International 10-20 method to keep consistent with a line of T3-Fpz-T4,

and recorded distances of T3-T4 and T3-Fpz. NIRS detection was to emit

near-infrared light to illuminate a cerebral cortex and detect the change in the

amount of light returning to a scalp after reflection. This device worn on the

head to emit and receive the light source was called a probe like a hat.

Observing its contact surface with the scalp, it could be found that protrusions

of the probe were arranged in an evenly spaced manner. A total of 33

transmitting probes and detection probes were arranged in a grid pattern. A

place between the transmitting probe and the detection probe, that was, a

place where the emitted light was reflected inside the brain, was a detection

site, which was called the channel.

Specifically, in the embodiment of the present invention, the 3D image

reconstruction unit generated the anatomical 3D image of the brain tissue of

the subject based on 3D-Slicer software, and the specific method was as

follows:

Importing DICOM format data of the MRI scanner into the 3D-Slicer software in turn, and first adjusting grayness in a 2D window until brain anatomical structures of an axial position, a sagittal position, and a coronal position can be can continuously observed.

Then operating Registration module to register 3D-T1WI, 3D-Flair, and CT

images scanned at different times.

After successful registration, sequentially operating 3D-T1WI sequence

reconstruction scalp, 3D-Flair reconstruction brain parenchyma, CT image

reconstruction skull and the like in a 3D window via Volume, Volume

Rendering and Segment Editor modules, and then viewing the 3D-T1WI

sequence reconstruction scalp, the 3D-Flair reconstruction brain parenchyma,

the CT image reconstruction skull and the like simultaneously in the 2D

window and the 3D window.

Adjusting transparency and a threshold value to display and view the

positional relationship among a channel site, a skull and a brain sulcus layer by

layer.

FIG. 9 showed the anatomical 3D image of the brain tissue of the subject

generated by the 3D image reconstruction unit, where A is an original MRI

image and a 3D reconstructed brain tissue; B is the fusion of MRI data and CT

data as well as a 3D reconstruction result.

Specifically, in the embodiment of the present invention, the data fusion

module rendered and drew the atlas through Adobe Photoshop. In the specific

implementation, a neurosurgeon and a psychiatrist could compare data

atlases with brain anatomy positions one by one, combine with a 3D image

model, and mark each channel site through the data marking module. An

image after marked with the channel site was shown in FIG. 10 After the marking was completed, the data fusion module used Adobe Photoshop for rendering and drawing the atlas. During rendering, according to the parameter values of each channel, colors of different depths were rendered at the sites corresponding to the channels in the 3D image, so that the parameter values of each channel could be intuitively determined by the color depth in a 3D image data fusion atlas later.

Further, in this embodiment, the image data fusion atlas used color

rendering to mark a hemoglobin concentration characteristic value in the

infrared brain imaging spectrum corresponding to each channel site collected

by the NIRS apparatus, and the characteristic value was the integral value of

oxyhemoglobin or deoxyhemoglobin.

Further, as shown in FIGS. 11 and 12, the image data fusion atlas output

and displayed by the output display module included a resting state brain

function diagram and an HCT state brain function diagram, where the resting

state brain function diagram included a resting state oxyhemoglobin fusion

atlas and a resting state total hemoglobin fusion atlas. The HCT state brain

function diagram included a HCT state oxyhemoglobin fusion atlas and a HCT

state total hemoglobin fusion atlas. Therefore, the present invention used the

data fusion module to perform data fusion on the brain tissue anatomical 3D

image generated by the 3D image reconstruction unit and the infrared brain

imaging spectrum collected by the NIRS apparatus to generate an image data

fusion atlas, where the image data fusion atlas could can intuitively view the

brain function of the subject, and improved the reading speed of a doctor on

test results.

Finally, it should be noted that the foregoing embodiments are intended for describing instead of limiting the technical solutions of the present invention.

Although the present invention is described in detail with reference to the

foregoing embodiments, persons of ordinary skill in the art should understand

that they may still make modifications to the technical solutions described in

the foregoing embodiments or make equivalent replacements to some or all

technical features thereof, without departing from the scope of the technical

solutions.

Claims (10)

1. A HCT-based near-infrared brain function imager 3D analysis system,

comprising:

a NIRS apparatus, configured to collect infrared waveform signals of a

subject to generate an infrared brain imaging spectrum;

an HCT cognitive task module, configured to provide a subject with a

high-level cognitive task;

a brain image scanner, configured to collect brain image data of the

subject;

a 3D image reconstruction unit, configured to generate an anatomical 3D

image of the subject's brain tissues based on the subject's brain image data

collected by the brain image scanner; and

a data fusion module, configured to perform data fusion on the brain

tissue anatomical 3D image generated by the 3D image reconstruction unit

and the infrared brain imaging spectrum collected by the NIRS apparatus to

generate an image data fusion atlas, where the image data fusion atlas is

marked with each channel site collected by the NIRS apparatus, and a

hemoglobin concentration characteristic value in the infrared brain imaging

spectrum corresponding to each channel is marked on the corresponding

channel site;

the HCT cognitive task module comprises a memory training module, a

calculation training module, a logical thinking training module, an abstract

thinking training module, and a reverse thinking training module, which are

used to provide the subject with memory training, calculation training, logical

thinking training, abstract thinking training and reverse thinking training.

2. The HCT-based near-infrared brain function imager 3D analysis system

according to claim 1, wherein the HCT cognitive task module further

comprises:

a task display unit, configured to display the high-level cognitive task to

the subject in a period of time;

a feedback input unit: configured to input corresponding feedback

information according to the high-level cognitive task by the subject; and

a synchronization control module, configured to control the start of the

infrared brain imaging device according to the period of time to collect and

generate the infrared brain imaging spectrum.

3. The HCT-based near-infrared brain function imager 3D analysis system

according to claim 1, wherein the system further comprises:

an atlas analysis module, configured to analyze and calculate the infrared

brain imaging spectrum collected by the near-infrared brain imaging device to

obtain the average waveform, slope, integral value and center of gravity value

of the subject's infrared brain imaging spectrum, and a spectrogram.

4. The HCT-based near-infrared brain function imager 3D analysis system

according to claim 3, wherein the system further comprises:

an output display module, configured to display an infrared brain imaging

atlas collected by the near-infrared brain imaging device, a calculation result of

the atlas analysis module and the image data fusion atlas generated by the

data fusion module; and

a data marking module, configured to input a channel corresponding to

the data atlas and anatomical 3D image site information of the channel in a

brain tissue.

5. The HCT-based near-infrared brain function imager 3D analysis system

according to claim 4, wherein the spectrum collected by the NIRS apparatus

comprises a resting state atlas and an HCT task state atlas; the resting state

atlas and the HCT task state atlas are the atlases collected when the subject is

in a taskless state and a high-level cognitive task state, respectively.

the image data fusion atlas displayed by the output display module

comprises a resting state oxyhemoglobin fusion atlas, a resting state total

hemoglobin fusion atlas, an HCT task state oxyhemoglobin fusion atlas, and

an HCT task state total hemoglobin fusion atlas.

6. The HCT-based near-infrared brain function imager 3D analysis system

according to claim 1, wherein a brain image scanner comprises a MRI scanner

and a CT scanning device.

7. The HCT-based near-infrared brain function imager 3D analysis system

according to claim 6, wherein the model of the MRI scanner is

PHILIPS-RTEC3L4, Netherlands, and its scanning parameters are 3D-TWI: 1

mm of layer thickness, FOV 256x256x256, TR 7.9, TE 3.9; 3D-Flair: 1 mm of

layer thickness, FOV 200 x232x180, TR 5000, TE 366.8;

the model of the CT scanning device is PHILIPS-BRILLIANCE 64,

Netherlands, and its scanning parameters: 0.625 mm of layer thickness, FOV

256x256x256.

8. The HCT-based near-infrared brain function imager 3D analysis

system according to claim 6, wherein the 3D image reconstruction unit

generates the anatomical 3D image of the subject's brain tissue based on

3D-Slicer software, and a specific method is as follows:

importing DICOM format data of the MRI scanner into the 3D-Slicer software in turn, and first adjusting grayness in a 2D window until brain anatomical structures of an axial position, a sagittal position, and a coronal position can be can continuously observed; then operating Registration module to register 3D-TWI, 3D-Flair, and CT images scanned at different times; after successful registration, sequentially operating 3D-TiWI sequence reconstruction scalp, 3D-Flair reconstruction brain parenchyma, CT image reconstruction skull and the like in a 3D window via Volume, Volume

Rendering and Segment Editor modules, and then viewing the 3D-T1WI

sequence reconstruction scalp, the 3D-Flair reconstruction brain parenchyma,

the CT image reconstruction skull and the like simultaneously in the 2D

window and the 3D window; and

adjusting transparency and a threshold value to display and view the

positional relationship among a channel site, a skull and a brain sulcus layer by

layer.

9. The HCT-based near-infrared brain function imager 3D analysis system

according to claim 1, wherein the image data fusion atlas uses color rendering

to mark a hemoglobin concentration characteristic value in the infrared brain

imaging spectrum corresponding to each channel site collected by the NIRS

apparatus, where the characteristic value is an integral value of

oxyhemoglobin or deoxyhemoglobin.

10. The HCT-based near-infrared brain function imager 3D analysis

system according to claim 1, wherein the infrared brain imaging spectra

collected and generated by theNIRS apparatus comprise an oxyhemoglobin

change atlas and a deoxyhemoglobin concentration change atlas of a brain's frontal and temporal lobes.