KR20180023517A - Method and Apparatus for determining spreading course of index component of Alzheimer's disease and Method for determining advancing stage of Alzheimer's disease - Google Patents

Abstract

The present invention relates to a method for determining a spreading course of an index component to diagnose a disease. The method comprises the steps of: obtaining detection data by detecting an index component to define an advancing stage of a disease for each section preliminarily divided and defined in a target region which is a partial region included in an object for each of a plurality of objects to be diagnosed with the advancing stage of the disease; generating a spread image in which the detection data are realigned based on information on the detected index component; and determining a spreading course of the index component by using the generated spread image.

Description

TECHNICAL FIELD The present invention relates to an apparatus and method for determining the propagation path of an indicator component of Alzheimer's disease and a method for determining the progress of Alzheimer's disease,

The present invention relates to a method and apparatus for determining the propagation path of an indicator component for diagnosing disease, and more particularly, to a method and apparatus for determining propagation path of an indicator component for diagnosing Alzheimer's disease, Quot;

Neuronal dysfunction and impairment can be caused by toxic, aggregative proteins, and many neurological diseases are characterized by such conditions. They may be used for the treatment of diseases such as atrophic lateral sclerosis, Alzheimer's disease, Parkinson's disease, prion disease, polyglutaminergic enlargement, spinal cord cerebral ataxia, spinal cord and soft muscle atrophy, spongiform encephalopathy, tauopathy, Huntington's disease, .

Alzheimer's disease is a disorder in which the cognitive functions of the human being, such as memory, attention, language function, temporal ability and judgment ability, including frontal lobe executive function, are difficult to achieve, and as a disease progresses, It is a disease that causes various social problems by giving a fatal influence to the surrounding people such as family and local residents.

Alzheimer's disease is a disease that is directly related to aging due to a rapid increase in the prevalence rate after age 50, but progression of disease progresses gradually until the time of death, which is a burden on the time and amount of treatment administration. As the aging society is progressing, the social burden is increasing with the increase of patients.

At present, the diagnosis of Alzheimer's disease is possible only after confirmation of beta amyloid plaque and tau protein lesions in the brain. Clinical diagnosis includes diagnostic tests for indirect tests such as physical examination, neurological examination, mental status test, diagnostic method for measuring the amount of beta amyloid in cerebrospinal fluid, and most precisely, Although there is a diagnostic method for identifying functional amyloid plaques and confirming the presence of beta amyloid plaques, there is a disadvantage that diagnosis is very invasive and expensive.

Korean Patent Publication No. 10-2014-0119486 (published)

Although many studies have been conducted on the methods of treating Alzheimer's disease, there is still a relatively lack of research on methods for early diagnosis of Alzheimer's disease.

Disclosure of Invention Technical Problem [8] The present invention has been proposed in order to solve the problems of the prior art described above, and it is an object of the present invention to provide a method and apparatus for detecting an indicator component for early diagnosis of Alzheimer's disease, The present invention aims to provide a method for easily identifying the progression stage of Alzheimer's disease in a subject.

According to an aspect of the present invention, there is provided a method for determining a propagation path of an indicator component, the method comprising the steps of: The method comprising the steps of: detecting an indicator component for defining a progression stage of a disease by predefined sections to obtain detection data; generating a spread image in which the detection data is rearranged based on information on the detected indicator components; And determining a propagation path of the indicator component using the generated spread image.

In addition, the disease is Alzheimer's disease, the target region is the brain cortex, and the indicator component may be tau or amyloid.

In addition, the spread image may be assigned a gray value or a color value differently according to the information of the reference index component.

In addition, the spread image may be a heat-map image that shows the propagation path of the landmark component as a spectrum.

In addition, the information on the indicator component may include the concentration or the content of the detected indicator component.

In the present invention, each of the pixels constituting the spread image may be a Z-score indicating the concentration or content of the detected indicator component, and may be a Z-score, which is a reference value for determining the progress of the disease, ) May be from 2.1 to 3.0.

A method for determining a progress stage of a disease according to an embodiment of the present invention is a method for determining a stage of progression of a disease by dividing a plurality of training objects by a predetermined section defined in a target area that is a partial area included in each of the training objects A spread image of an index component constructed by rearranging the index component for defining the progressive stage to obtain detection data and rearranging the detected index component based on the information about the detected index component, Comparing the spread image with the spread image, and determining a disease progression stage of the diagnosis subject according to a comparison result obtained by comparing the spread image and the detection data detected from the diagnosis subject.

In the present invention, the disease is Alzheimer's disease, the target region is the brain cortex, and the indicator component may be tau or amyloid.

In addition, the disease progression stage of the diagnosis subject can be determined in consideration of the distribution characteristics of the indicator component in the detection data detected from the diagnosis subject.

The tau spread image constructed by rearranging the tau detection data in which the tau is detected and the calculation of the weight of the amyloid spread image constructed by rearranging the amyloid detection data in which the amyloid is detected, , And the detection data detected from the diagnosis object to be diagnosed can be compared and analyzed.

In addition, the spread image may be assigned a gray value or a color value differently according to the information of the reference index component.

In the present invention, the spread image may further include a step of acquiring the spread image as a heat-map image showing a propagation path of the surface component as a spectrum.

An apparatus for determining a propagation path of an indicator component according to an embodiment of the present invention is a device for determining a propagation path of an indicator component in a target region that is partly included in the object, A detection data acquiring unit for acquiring detection data by detecting an index component for defining a progress stage of the disease for each section, an image generating unit for generating a spread image in which the detection data is rearranged based on the detected index component information, And a propagation path determining unit determining the propagation path of the landmark component using the generated spread image.

Therefore, the method of determining the propagation path of the surface component can predict and diagnose the disease progression stage of the subject who is to be diagnosed based on the spread image generated using the detection data detected from the subject to be diagnosed, in an early and simple manner.

FIG. 1 is a block diagram briefly showing an apparatus for determining a propagation path of an indicator component for diagnosing a disease according to an embodiment of the present invention and a disease diagnosis apparatus.
2 is a view showing a spread image according to an embodiment of the present invention.
3 is a diagram showing detection data according to an embodiment of the present invention.
FIG. 4 is a flowchart illustrating a method of determining a propagation pathway of an indicator component for diagnosing a disease according to an embodiment of the present invention, and determining a progression stage of the Alzheimer's disease.
FIG. 5 is a diagram showing the index components detected in a section according to a concentration according to another embodiment of the present invention. FIG.

The present invention will be described in detail with reference to the accompanying drawings.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings and accompanying drawings, but the present invention is not limited to or limited by the embodiments.

The term used in the specification of the present invention selects the general term that is widely used in the present invention while considering the function of the present invention, but it may be changed depending on the intention or custom of the technician engaged in the field or appearance of new technology . Also, in certain cases, there may be a term chosen arbitrarily by the applicant, in which case the meaning thereof will be described in the description of the corresponding invention. Therefore, it is intended that the terminology used herein should be interpreted based on the meaning of the term rather than on the name of the term, and on the entire contents of the specification. For example, certain features, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in connection with an embodiment.

Further, although the reference numerals and the like of the drawings are denoted by the same reference numerals and signs as possible, even if they are shown in different drawings, the same reference numerals and signs are used. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is to be limited only by the appended claims, along with the full scope of equivalents to which such claims are entitled, if properly explained. In the drawings, like reference numerals refer to the same or similar functions throughout the several views.

Hereinafter, a propagation path determining apparatus, a propagation path determining method, and a disease diagnosis determining method for diagnosing diseases according to the present invention will be described in detail. For example, the disease according to the present invention is Alzheimer's disease, and the indicator component associated with Alzheimer's disease may be tau or amyloid. The propagation path determination device, the propagation path determination method and the disease diagnosis decision method described below are exemplified by the tau or amyloid as an example of the indicator component, but the present invention is not limited to this, and another criteria for diagnosing Alzheimer's disease can be selected and diagnosed have.

FIG. 1 is a block diagram briefly showing an apparatus for determining a propagation path of an indicator component for diagnosing a disease according to an embodiment of the present invention and a disease diagnosis apparatus.

1, the propagation path determination apparatus 1 includes a detection data acquisition unit 10, an image generation unit 20, and a propagation path determination unit 30, and the disease diagnosis apparatus 2 includes a comparison unit 100 and a determination unit 200. [

The detection data acquiring unit 10 acquires the detection data for each of a plurality of objects to diagnose the progress of the disease (hereinafter referred to as "Alzheimer ' s disease"), By detecting the index component for defining the progression stage of the Alzheimer's disease, detection data is obtained.

Here, the plurality of objects refers to the persons who want to diagnose Alzheimer's disease, and the configuration for each of the specimens for obtaining the detection data may be different. For example, the constituents of the target data for the detection data to be obtained may be detection data for 195 persons composed of 67 normal persons, 23 non-forgetting persons, 52 forgetfulness hardness cognitive impairment persons and 53 Alzheimer's patients, Detection data for some of the randomly extracted people among the 195 changes may also be obtained.

In addition, the target area means a cortical area of each brain of the target person, and a section previously defined and defined in the cortex of the brain represents a part of the human brain in which the cerebrum is divided into a shape and a function Each of the sections represents a portion located in the brain, and is predefined and given a name. For example, the section is defined as a name that represents each part in the brain cortex such as amygdala, entorhinal, parahippocampal, precuneus, insula, lingual, paracentral, postcentral, orbitofrontal,

The image generating unit 20 according to the present invention generates a spread image in which detection data is rearranged based on information on the detected surface components. At this time, the spread image is given a gray value or a color value differently according to the information of the reference index component.

2 is a view showing a spread image according to an embodiment of the present invention. 2, the spread image may be a heat-map image showing a propagation path of the landmark component according to each object in a spectrum.

For example, based on the obtained detection data, the image generating unit 20 calculates the tau detected in a section of a plurality of people with respect to the tau (tau), which is an index component of Alzheimer's disease, And generates a spread image that is output as a visual graphic in the form of a thermal distribution on the image.

At this time, the difference in color expressed in the spread image can be expressed in different colors by the difference in the content or the concentration of the detected tau. The spread image according to another embodiment may be an image represented by an achromatic color having a gray value rather than a color having a color value.

2 (b), the image generating unit 20 detects the amyloid detected in the sections of a plurality of people with respect to amyloid, which is one of the index components capable of diagnosing Alzheimer's disease, The image can be generated by expressing the color according to the content or concentration.

FIG. 2 (c) is a heat map image showing a volume reduction according to a degree of brain atrophy in a plurality of people's sections, which is a measure for diagnosing Alzheimer's disease.

According to one embodiment, FIG. 2 (a) shows a stepwise pattern of gradually diffusing in a region of a part of the brain cortex. (b), it can be seen that amyloid was detected in a wider area than tau. On the other hand, (c) shows a lower level of path diffusion than tau and amyloid detection, but the pattern showed a stepwise pattern such as tau and amyloid.

In FIG. 2, a pixel forming a heat-map image is a Z-score of a brain of one of the target persons. Here, the Z-score represents a random variable Z value according to a standard normal distribution.

At this time, the color expressed on the spread image can be given differently according to the reference value that is set in advance for the digitized jet score (Z-score)

As an example, the image representing the horizontal axis of the heat map image shown in FIG. 2 represents a plurality of objects to be diagnosed, white means normal people, light gray means non-disabled persons, dark brown means forgetfulness hardness Cognitive impaired, and black refers to Alzheimer's patients. In addition, the image representing the vertical axis of the heat map image means a section of a part of the target area, and the hue represented in the vertical axis means the concentration of the indicator component. The more bright the color, the higher the concentration of tau detected, and the darker the color, the lower the concentration of tau detected.

3 is a diagram showing detection data according to an embodiment of the present invention. Referring to FIG. 3, when tau, amyloid, and volume reduction, which are judgment criteria for diagnosing Alzheimer's disease, are detected from the sections, Data. At this time, the Z-score represents a random variable according to the concentration detected according to each of the above-mentioned judgment criteria.

At this time, whether or not the tau is detected is determined according to a preset reference value of the jet score. Here, the predetermined reference value of the jet score is a variable value that can be varied according to the variable for the object of the detection data to be detected with a value between 2.1 and 3.0.

On the other hand, the order of the sorted sections according to the order in which the concentration of amyloid, another indicator component, was detected was different from the order of the sorted sections according to the order in which the concentration of tau was high. Similarly, the order of the sections with high degree of brain contraction was also different from the order in which tau and amyloid were detected.

Referring again to FIG. 1, the propagation path determining unit 30 determines the propagation path of the surface component using the spread image generated from the image generating unit 20. FIG.

In another embodiment, the propagation path determination apparatus 1 may further include a storage unit (not shown). The storage unit stores the detection data and the generated spread image.

The disease diagnosis apparatus 2 includes a comparison unit 100 and a determination unit 200. The comparing unit 100 compares detection data detected in a target area, which is an area of a part of the training objects, with the index component for diagnosing Alzheimer's disease, for each of a plurality of training objects, The detection data detected from the diagnostic object to be diagnosed is compared with the spread image constructed using the spread data which is a spread image which is constructed in advance and based on the information about the components.

The comparison unit 100 according to another embodiment may further include a pattern recognition unit (not shown) and a feature extraction unit (not shown). The pattern recognition unit recognizes the pattern of the spread image constructed from the propagation path determination apparatus 1 and recognizes the pattern of the spread image obtained using the detection data detected from the diagnosis object to be diagnosed. The feature extraction unit compares the detection data detected from the object to be diagnosed with the detection results of the detection data for each of the plurality of training objects to extract a feature value through pattern recognition of the pattern recognition unit (not shown) .

Accordingly, the comparison unit 100 compares at least two data through a predetermined algorithm using the feature values extracted from the feature extraction unit as input values.

The judging unit 200 judges whether or not the disease progression stage of the diagnosis object to be diagnosed to be diagnosed based on the reference value defined in advance by the propagation path determination apparatus 1 and using the comparative analysis data from the comparison unit 100, .

The disease diagnosis apparatus 2 according to another embodiment of the present invention may further include a database unit (not shown). The database unit stores the detection data detected from the propagation path determination apparatus 1 and the spread image thus generated as reference data for determining a disease progression stage of an object to be diagnosed, The detection data and the spread image transmitted from the device 1 can be set as initial values.

FIG. 4 is a flowchart illustrating a method of determining a propagation pathway of an indicator component for diagnosing a disease according to an embodiment of the present invention, and determining a progression stage of the Alzheimer's disease.

First, the detection data acquisition unit 10 of the propagation path determination apparatus 1 acquires, for each of a plurality of people who are to be diagnosed with the progression stage of Alzheimer's disease, an Alzheimer's disease And acquires detection data that detects an index component capable of diagnosing a disease (S100).

The image generating unit 20 receives the detection data obtained from the detection data obtaining unit 10, and rearranges the detected image data based on the detected image data (S200). For example, the tau content or concentration, which is one of the indicator components of Alzheimer's disease detected in a section dividing the cortical region of the brain, is rearranged by expressing the color differently according to the concentration detected based on a predetermined standard. At this time, the color represented may be a gray value and may be represented by a color value.

A spread image is generated using the re-arranged data (S300). At this time, the generated spread image may be a heat-map image in which the propagation path of the index component detected in a section of a plurality of people to be diagnosed is expressed in a spectrum. The generated spread image and the obtained detection data are set and stored in the propagation path determination device 1 as an initial value for determining the progression stage of Alzheimer's disease of another object to be diagnosed.

Next, the disease diagnosis apparatus 2 receives the detection data and the spread image stored in the propagation path determination apparatus 1, and recognizes a pattern indicating a propagation path of the received spread image (S400). The method comprising the steps of: acquiring detection data for at least one index component of a plurality of index components from other objects to be diagnosed when the pattern recognition is completed; (S500). At this time, a method of comparing the pre-established spread image with the detection data for the other objects is to input the detection data to the pre-constructed spread image to check whether the spread data match or not, The progress of the Alzheimer's disease in another subject is determined according to a reference value capable of defining a progression step (S600).

FIG. 5 is a diagram showing the index components detected in a section according to concentration according to another embodiment of the present invention. FIG.

FIG. 5A shows the target area as a three-dimensional image, and tau detected in a section of at least one object is distinguished according to the density. B is a diagram showing detection of amyloid as another indicator component.

Referring to FIG. 5, it can be seen that amyloid was detected at a relatively higher content or concentration than tau and detected in a wide range of sections.

While several embodiments of the present invention have been described, these embodiments are provided by way of example and are not intended to limit the scope of the invention. These new embodiments can be implemented in various other forms, and various omissions, substitutions, and alterations can be made without departing from the gist of the invention. These embodiments and their modifications are included in the scope and spirit of the invention and are included in the scope of equivalents to the invention described in the claims.

1: Propagation path determining device
10: Detection data acquisition unit
20:
30: Propagation path determining unit
2: disease diagnosis device
100:
200:

Claims (13)

For each of a plurality of objects to be diagnosed for the progression stage of the disease, an index component for defining the progression stage of the disease in each of the defined sections previously defined in the target area, which is a part of the object, Acquiring data;
Generating a spread image in which the detection data is rearranged based on information on the detected indicator component; And
And determining the propagation path of the indicator component using the generated spread image. The method according to claim 1,
Wherein the disease is Alzheimer ' s disease, the target region is the brain cortex,
Wherein the indicator component is tau or amyloid. ≪ RTI ID = 0.0 > 11. < / RTI > The method according to claim 1,
Wherein the spread image is differently assigned a gray value or a color value according to the information of the reference index component. The method according to claim 1,
Wherein the spread image is a heat-map image representing a propagation path of the landmark component as a spectrum. The information processing apparatus according to claim 1,
And the concentration or content of the detected indicator component. 6. The method of claim 5,
Wherein each of the pixels constituting the spread image is a Z-score indicating a concentration or an amount of the detected indicator component,
Wherein the Z-score, which is a reference value for determining the progression stage of the disease, is in the range of 2.1 to 3.0. For each of a plurality of training objects, an index component for defining a progress stage of a disease for each defined section defined in a target area that is a part of each of the training objects, Comparing a spread image of an index component constructed by rearranging based on information on the detected index component and detection data detected from a diagnostic object to be diagnosed with the spread image; And
Determining a disease progression stage of the diagnosis subject according to a comparison result of comparing the spread image and detection data detected from the diagnosis subject. 8. The method of claim 7,
Wherein the disease is Alzheimer ' s disease, the target region is the brain cortex,
Wherein the indicator component is tau or amyloid. ≪ RTI ID = 0.0 > 11. < / RTI > 8. The method of claim 7,
Wherein the step of determining the disease progression stage of the diagnosis subject is determined in consideration of the distribution characteristics of the indicator component in the detection data detected from the diagnosis subject. 8. The method of claim 7,
A tau spread image constructed by rearranging the tau detection data in which the tau is detected,
And comparing and analyzing the detection data detected from the diagnosis target to be diagnosed by using an operation on the weight of the amyloid spread image constructed by rearranging the amyloid detection data in which the amyloid is detected A method of determining the progression stage of a disease. 8. The method of claim 7,
Wherein the spread image is assigned a gray value or a color value differently according to the information of the reference indicator component. 8. The method of claim 7,
Further comprising the step of obtaining the spread image as a heat-map image representing a propagation path of an indicator component as a spectrum. For each of a plurality of objects to be diagnosed for the progression stage of the disease, an index component for defining the progression stage of the disease in each of the defined sections previously defined in the target area, which is a part of the object, A detection data acquisition unit for acquiring data;
An image generating unit for generating a spread image in which the detection data is rearranged based on information on the detected surface components; And
And a propagation path determining unit determining the propagation path of the index component using the generated spread image.

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