KR101865275B1 - Method and Apparatus for providing template-based information regarding disease-centric Medical image - Google Patents

Abstract

Disclosed are a method and an apparatus for providing template-based information for a disease-oriented medical image. The method for providing template-based information for a disease-oriented medical image according to an embodiment of the present invention includes the following steps: selecting a disease; generating fusion medical information by fusing disease domain information, which is theoretical medical information related to an analysis of the selected disease, and disease semantic information, which is medical information based on clinical experience necessary for the treatment of the selected disease; selecting at least one of a plurality of medical drawings or a plurality of medical images with respect to a corresponding body organ, which corresponds to the selected disease, as a template; and outputting a template indicating medical history information of a specific patient by using the fusion medical information and the template.

Description

TECHNICAL FIELD [0001] The present invention relates to a template-based information providing method and apparatus for disease-

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to medical image providing, and more particularly, to a template-based information providing method and apparatus for disease-centered medical image.

Most hospital information systems (HIS) have a medical information system that can process various clinical data throughout hospital management including prescription delivery, inspection and medical record management, image storage and delivery, and electronic medical records. . In particular, electronic medical record system (EMR) and medical image storage system (PACS) are widely used to efficiently process medical clinical data such as medical images and medical records, which can be used as an index for diagnosis and treatment of patients. .

Electronic medical record system (EMR) is a computerized method of managing medical records that was previously managed by paper charts. It is a system in which all medical information generated in hospitals is digitized and defined in record form. Detailed medical data And it is not possible to consider semantically relatedness and flexibility.

In addition, medical image storage system (PACS) is a system that stores medical images such as X-ray, CT, and MRI, which are used in hospitals, in digital form and can be viewed and diagnosed in real time in computers such as clinics, It is inconvenient to view and read a large number of medical images in order to check the anatomy structure information in medical images.

Korean Patent Registration No. 10-1296897 entitled " Cardiac Diagnosis Device and Method, filed on October 19, 2011)

An object of the present invention is to provide a method and apparatus for providing template-based information for disease-centered medical images capable of providing integrated medical information centered on a disease.

According to an aspect of the present invention, there is provided a method for providing template-based information for a disease-centered medical image, the method comprising: selecting a disease; Generating fusion medical information by fusing disease domain information, which is theoretical medical information related to the analysis of the selected disease, and disease symptom information, which is medical information based on clinical experience necessary for the treatment of the selected disease; Selecting at least one of a plurality of medical images or a plurality of medical images for a corresponding bodily organ corresponding to the selected disease as a template; And outputting a template showing the medical history information of the specific patient using the fusion medical information and the template.

Preferably, the disease domain information is generated based on a plurality of medical documents describing medical theory, and includes medical terms related to the disease and anatomical information of the corresponding body organ, the disease semantic information comprising at least one physician And information on risk and abnormality that are generated based on a plurality of clinical information on the disease and which should be confirmed in relation to the disease.

Preferably, the convergence medical information is generated based on conceptual schema modeling, and the reference relationship between the plurality of items included in the convergence medical information and the plurality of clinical information referred to by the plurality of items And anatomy relativity, which is a relation between an item related to the position of a lesion for the disease and the anatomical information among the plurality of items.

Preferably, the step of selecting at least one of the plurality of medical drawings or medical images as a template comprises selecting a medical drawing DB that stores a plurality of medical drawings for the corresponding body arrangement or at least one Collecting a plurality of medical drawings or medical images for the corresponding body organ from an imaging medical device; And selecting at least one medical drawing or medical image capable of expressing a lesion of the disease among the plurality of medical drawings or medical images as the template.

Preferably, the step of selecting the at least one medical drawing or medical image as the template is performed based on at least one physician's input, or is performed based on the anatomical information of the corresponding body organ, The number may be determined by the type of disease of the patient.

Preferably, the step of outputting the template displaying the medical history information of the specific patient using the fusion medical information and the template may include the step of outputting the template information including the pluralities of the plurality of templates included in the template using the anatomical information of the corresponding body organ included in the disease domain information, Identifying the type and location of each of the suborganizations; Mapping a position of a lesion to the disease included in the fusion medical information to a position of a sub-organs corresponding to the lesion among the plurality of sub-organs; Generating screening history information for screening history information corresponding to the lesion from the history information about the specific patient; And outputting the generated template history information to the template indicating the location of the sub-organ corresponding to the lesion.

The step of mapping the position of the lesion included in the fusion medical information to the position of the sub-organs of the type corresponding to the lesion among the plurality of sub-organs may include: Based on a general-purpose mapping table in which types and positions of sub-organs corresponding to each of the plurality of lesions are mapped.

Preferably, the step of generating the screening history information selecting the history information corresponding to the lesion among the history information of the specific patient includes: selecting the specific patient to be the subject of the template output; Collecting history information about the selected specific patient; And generating screening history information for screening the medical history information corresponding to the lesion from the collected medical history information.

Preferably, the step of outputting the template displaying the medical history information of the specific patient using the fusion medical information and the template may further include the step of outputting the template history information to the patient by mapping the generated screening history information to the position of the sub- The mapping table and the generated template histogram information may be stored at the position of the sub-organ corresponding to the lesion.

Preferably, the history information on the specific patient may include at least one of a plurality of medical images for the specific patient, metadata for the plurality of medical images, and annotation information for the medical image .

Preferably, the step of outputting the generated template histogram information indicating the selected template at the position of the sub-organ corresponding to the lesion may further comprise the step of outputting the fusion history information corresponding to the fusion medical information, Can be further output.

According to another aspect of the present invention, there is provided an apparatus for providing a template-based information for a disease-centered medical image, comprising: a selection unit for selecting a disease; A fusion information generating unit for generating fusion medical information by fusing disease domain information, which is theoretical medical information related to analysis of the selected disease, and disease symptom information, which is medical information based on clinical experience necessary for the treatment of the selected disease; A template management unit for selecting at least one of a plurality of medical images or a plurality of medical images for a corresponding bodily organ corresponding to the disease of the patient as a template; And an output unit outputting the template indicating the medical history information of the specific patient using the fusion medical information and the template.

Preferably, the disease domain information is generated based on a plurality of medical documents describing medical theory, and includes medical terms related to the disease and anatomical information of the corresponding body organ, the disease semantic information comprising at least one physician And information on risk and abnormality that are generated based on a plurality of clinical information on the disease and which should be confirmed in relation to the disease.

Preferably, the convergence medical information is generated based on conceptual schema modeling, and the reference relationship between the plurality of items included in the convergence medical information and the plurality of clinical information referred to by the plurality of items And anatomy relativity, which is a relation between an item related to the position of a lesion for the disease and the anatomical information among the plurality of items.

Advantageously, said template management unit comprises a medical chart DB storing a plurality of medical charts for said corresponding body organ or a plurality of medical charts for said corresponding body organ from at least one imaging medical device that has photographed said corresponding body organ Or a medical image, and to select at least one medical drawing or medical image capable of expressing a lesion of the disease among the plurality of medical drawings or medical images as the template.

Preferably, the template management unit is operable to select at least one of a plurality of medical images or a plurality of medical images for a corresponding bodily organ corresponding to the disease of the patient as a template by inputting at least one doctor, Based on the anatomical information of the organ, and the number of the selected templates can be determined by the type of disease of the patient.

Preferably, the output unit identifies the type and position of each of the plurality of sub-organs included in the template using the anatomical information of the corresponding body organ included in the disease domain information, Mapping the position of the lesion to the disease to the position of the sub-organ corresponding to the lesion among the plurality of sub-organs, and selecting the history information corresponding to the lesion from the history information of the specific patient The generated template history information may be output at the position of the sub-organ corresponding to the lesion.

Preferably, the output unit is included in the fusion medical information based on a general mapping table mapping positions of a plurality of lesions included in the fusion medical information and types and positions of sub-organs corresponding to the plurality of lesions, respectively The position of the lesion may be mapped to the position of the sub-organs corresponding to the lesion among the plurality of sub-organs.

Preferably, the output unit selects the specific patient to be the subject of the template output when generating the screening history information that selects the history information corresponding to the lesion from the history information of the specific patient, After collecting the medical history information on the patient, the medical history information may be generated by selecting the medical history information corresponding to the lesion from the collected medical history information.

Preferably, the apparatus for providing template-based information for a disease-centered medical image according to an embodiment of the present invention includes a patient-specific mapping table mapping the generated screening history information to a position of a sub-organ corresponding to the lesion, And a storage unit for storing the generated template history information in the template indicating the type of sub-organ corresponding to the lesion.

According to an embodiment of the present invention, integrated medical information can be provided using a template medical image as a disease center.

According to another embodiment of the present invention, clinical information is integrated into a template centered on a disease, thereby improving the convenience of a doctor.

Further, according to another embodiment of the present invention, items to be considered important in terms of disease are classified and presented in the clinical data, so that the medical information to be confirmed first by the doctor can be quickly identified.

According to another embodiment of the present invention, anatomical information of a body organ corresponding to a disease and disease symptom information, which is medical information based on clinical experience, are fused and provided together in a template, It is possible to provide medical information.

FIG. 1 is a flowchart illustrating a template-based information providing method for a disease-centered medical image according to an embodiment of the present invention.
2A is a diagram illustrating anatomical structure information of a coronary artery for explaining disease domain information according to an embodiment of the present invention.
FIG. 2B is a diagram illustrating anatomical classification information of a coronary artery for explaining disease domain information according to an embodiment of the present invention. FIG.
FIG. 3A is a diagram showing brain anatomy structure information for describing disease domain information according to an embodiment of the present invention.
FIG. 3B is a view showing brain anatomy classification information for explaining disease domain information according to an embodiment of the present invention.
4A is a diagram illustrating disease symptomatic information on acute myocardial infarction according to an embodiment of the present invention.
FIG. 4B is a diagram illustrating disease symptomatic information for an ischemic stroke according to an embodiment of the present invention. FIG.
5A and 5B are views for explaining fusion medical information for a coronary artery according to an embodiment of the present invention.
6A and 6B are views for explaining fusion medical information for the brain according to an embodiment of the present invention.
FIG. 7 is a view for explaining a reference relationship and an anatomical relationship of the fusion medical information according to an embodiment of the present invention.
8A is a diagram illustrating a template for a coronary artery according to an embodiment of the present invention.
8B is a diagram illustrating a template for a brain according to an embodiment of the present invention.
9 is a flowchart illustrating a mapping table building method for enabling template-based image information according to an embodiment of the present invention.
10 is a view showing a state in which a sub-organ is identified in a coronary artery template according to an embodiment of the present invention.
11A and 11B are diagrams showing a state in which a sub-organ is identified in a brain template according to an embodiment of the present invention.
12 is a diagram illustrating a method of generating a patient-specific mapping table according to an embodiment of the present invention.
13 is a diagram showing a state in which a template showing history information of a patient is output according to an embodiment of the present invention.
FIG. 14 is a view for explaining a template-based information providing apparatus for a disease-centered medical image according to an embodiment of the present invention.
FIG. 15 is a diagram illustrating a UI of a disease-centered medical image providing application according to an embodiment of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It is to be understood, however, that the invention is not to be limited to the specific embodiments, but includes all changes, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing.

The terms first, second, A, B, etc. may be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a flowchart illustrating a template-based information providing method for a disease-centered medical image according to an embodiment of the present invention.

In step 110, a template-based information provision device for disease-based medical images selects a disease.

For example, the information providing apparatus can select acute myocardial infarction or stroke as a disease.

In step 120, the information providing device fuses the disease-domain information, which is the theoretical medical information related to the analysis of the selected disease, and the disease-semantic information, which is clinical information-based medical information necessary for the treatment of the selected disease, to generate the fusion medical information.

At this time, the disease domain information is generated based on a plurality of medical documents describing the medical theory, and the medical domain information related to the disease and the anatomical information (anatomical structure information, anatomical classification information, etc.) The disease symptomatic information is generated based on a plurality of clinical information on a disease created by at least one physician and includes information on abnormality and risk factor information to be confirmed in relation to the disease .

For example, the disease domain information may be generated by collecting a plurality of medical documents including theoretical information on medicine, such as a medical dictionary, and applying big data analysis to the collected plurality of documents.

 In addition, the disease symptomatic information is not superficial information included in the medical image, but refers to the information that the doctor can find out through the analysis and thinking process of the actual medical image, and it includes clinical information (medical image, medical image reading paper, Chart, blood test paper, etc.).

Disease domain information will be described in detail later with reference to FIG. 2 and FIG. 3, disease symptom information will be described later in detail with reference to FIG. 4, and fusion medical information will be described later in detail with reference to FIG. 5 to FIG.

In step 130, the information providing apparatus selects at least one of a plurality of medical images or a plurality of medical images for a corresponding bodily organ corresponding to the selected disease as a template.

At this time, the information providing apparatus may be provided with at least one medical imaging device (CT, MRI, X-ray, etc.) which records a medical drawing DB storing a plurality of drawings for a corresponding bodily organ for a disease or a corresponding bodily organ A medical image can be selected as a template from at least one drawing or medical image that can represent a lesion of a disease among the collected plurality of drawings or medical images.

Here, the medical chart for the corresponding body organ is not a medical image obtained from the medical instrument but a medical chart separately showing the corresponding body organ. The medical image may be a plurality of medical images of different types collected from a plurality of image medical apparatuses And may be a plurality of medical images for the same patient or a plurality of patients collected from one imaging medical device.

The information providing apparatus may select a template based on at least one physician's input or may select a template that contains the most anatomical structures for displaying a lesion on the basis of the anatomy information of the corresponding body organ have. However, the number of templates to be selected may be different depending on the type of disease of the patient. In the case of a plurality of templates, the number of the medical drawings or the medical images is set to a predetermined number Can be selected.

For example, if the disease is acute myocardial infarction, one cardiac map with the anatomical information of the coronary artery can be selected as a template, and if the disease is a stroke, 13 brain regions A magnetic resonance image frame can be selected as a template.

The template for the coronary artery and the template for the brain will be described with reference to FIGS. 8A and 8B, respectively.

FIG. 8A is a view for explaining a template for a coronary artery according to an embodiment of the present invention, and FIG. 8B is a view for explaining a template for a brain according to an embodiment of the present invention.

Referring to FIG. 8A, it can be seen that the template for the coronary artery is a medical chart for one coronary artery. Referring to FIG. 8B, the template for the brain is a magnetic resonance image frame for 13 brains Able to know.

In step 140, the information providing apparatus outputs the template showing the history information of the specific patient using the fusion medical information and the template.

A method of outputting the template showing the patient's medical history information will be described later in detail with reference to Fig.

As described above, according to the embodiment of the present invention, the information providing apparatus outputs the template showing the history information of the specific patient, thereby providing the integrated medical information centered on the disease.

In addition, conventionally, clinical information has been managed in a fragmentary manner, and it has been troublesome to select and analyze clinical information (medical image, medical image reading paper, electronic chart, blood test paper, etc.) scattered by doctors for diagnosis of diseases According to one embodiment of the present invention, clinical information is integrated into a template based on a disease, and the convenience of a doctor is improved.

2A is a diagram illustrating anatomical structure information of a coronary artery for explaining disease domain information according to an embodiment of the present invention.

Because acute myocardial infarction is a disease in which cardiac function is problematic due to stenosis or occlusion in the coronary artery, it is necessary to analyze the anatomical structure of the coronary artery, where the lesion occurs, as disease domain information .

Coronary arteries are divided anatomically into left coronary artery and right coronary artery. The predominant vessels of the two coronary arteries differ in the internally distributed vascular segments.

The heart image at the top of FIG. 2A shows the heart of the right coronary artery predominant type (RCA DOMINANT), the heart image at the bottom left illustrates the heart of the left and right coronary artery balance type (BALANCED) The heart image shows the heart of the left coronary artery predominant type (LCA DOMINANT).

At this time, the detailed organs indicated by abbreviations (R1, RD, A1, A2 ...) in the heart image represent blood vessels.

FIG. 2B is a diagram illustrating anatomical classification information of a coronary artery for explaining disease domain information according to an embodiment of the present invention. FIG.

Referring to FIG. 2B, the coronary artery is divided into a right coronary artery and a left coronary artery. The right coronary artery and the left coronary artery are divided into sub-organs Finally, it is shown which blood vessels can be distinguished by abbreviations.

FIG. 3A is a diagram showing brain anatomy structure information for describing disease domain information according to an embodiment of the present invention.

Since the ischemic stroke is a disease in which stenosis or occlusion of the cerebral blood vessel occurs, it is necessary to analyze the brain anatomy structure where the lesion occurs as shown in FIG. 3A as disease domain information.

The brain is divided into cerebral blood vessels supplying oxygen and nutrients to the brain tissue, and brain organs supplying oxygen and nutrients from the cerebral blood vessels as shown in FIG. 3A. Ischemic stroke is a cerebral blood vessel that is directly affected by the disease and can be the location of the lesion, but the brain organs that may be affected by these diseases also need to be analyzed.

The cerebral blood vessels are roughly divided into cerebral veins, which circulate the blood to the heart, and cerebral arteries, which supply the blood from the heart to the brain, and can be hierarchically modeled according to the structural classification, respectively. Structural classification refers to structurally dividing named blood vessels according to branches that have been minutely elongated from the beginning of the blood vessel to the lower blood vessels from the uppermost vessels. However, in the case of the cerebral artery, the cerebral circulation and the cerebral circulation can be divided into the cerebral circulation according to the supply of the blood flow to the cerebral artery. Therefore, the cerebral artery can be classified according to functional criteria (cerebral circulation) It plays a role.

The brain organs can be divided into six major organs (cerebrum, cerebellum, brain stem, brain membrane, cerebrospinal fluid, cranial nerve) depending on their shape and function. Such brain organs information is combined with cerebrovascular information to form the whole structure of the brain. In the case of ischemic stroke, cerebral blood vessel information is important as ischemic lesion information, but blood supply is not provided depending on the location of ischemia, and thus information on the cerebral organs in which the problem occurs is also essential information.

FIG. 3B is a view showing brain anatomy classification information for explaining disease domain information according to an embodiment of the present invention.

Referring to FIG. 3B, the head is divided into a skull and a brain, and a brain is divided into a right hemisphere and a left hemisphere. The anatomical classification information is shown.

4A is a diagram illustrating disease symptomatic information on acute myocardial infarction according to an embodiment of the present invention.

The disease symptomatic information for acute myocardial infarction includes coronary artery abnormality, heart function abnormality, risk factors for AMI as shown in FIG. 4A, . Such disease symptomatic information may be obtained from a plurality of clinical information prepared by at least one physician or may be obtained by receiving a reply by inquiring at least one physician in the form of a questionnaire.

The risk factors for coronary artery disease, cardiac dysfunction and acute myocardial infarction are described below.

1) Coronary artery abnormality

Because an acute myocardial infarction is an anatomic disease that causes stenosis or obstruction due to thrombosis or embolism in the coronary artery, it is essential to confirm the abnormality of the coronary artery (position, condition, degree of lesion) . Such information can be obtained from clinical information such as coronary angiography (CAG), coronary arteriogram, percutaneous coronary angioplasty and stent deployment report (PTCA and Stent Deployment report).

2) Cardiac dysfunction

Since acute myocardial infarction is a heart disease, basically it is essential to understand cardiac function information such as myocardial motility, time comparisons with contraction / diastole. Such information can be obtained from echocardiography, electrocardiogram (EKG), and the like.

3) Risk factors for acute myocardial infarction

In general, most of the diseases have risk factors for the causes and factors that cause the disease. Risk factors are essential information for the diagnosis of the disease. In the case of acute myocardial infarction, information such as hyperlipidemia, diabetes, and hypertension are included. Such information can be obtained from various reports (coronary angiography report, stent procedure report) and blood test sheet (clinical examination sheet).

Referring to FIG. 4A, Coronary Arteriogram, Coronary Angiography, and Echocardiography are shown respectively, and items that can be confirmed in a medical image related to coronary artery disease are shown at the bottom And the semantic relation between the items is described.

FIG. 4B is a diagram illustrating disease symptomatic information for an ischemic stroke according to an embodiment of the present invention. FIG.

As shown in FIG. 4B, the symptomatic symptom information for ischemic stroke is defined as Cerebrovascular Abnormality, Penumbral Tissue Abnormality, Risk Factors for Ischemic Strokes, .

The risk factors for cerebral vascular abnormalities, cerebral hemispheric abnormalities, and ischemic stroke are as follows.

1) cerebrovascular abnormality

Because ischemic stroke is an ischemic stroke due to ischemia caused by stenosis of cerebral blood vessels, it is essential to confirm the presence or absence of cerebrovascular abnormality (position, condition, degree) of the disease in order to diagnose the disease. Such information can be obtained from computer tomography (CT), magnetic resonance imaging (MR), cerebral angiography (TFCA), and each image reading report.

2) Brain hemispheric tissue abnormality

Because ischemic stroke is a disease in which ischemic hematocrit occurs due to the effect of cerebral vascular stenosis, it is essential to understand the semisolid tissue abnormality. Such information can be obtained from computer tomography (CT), magnetic resonance imaging (MR), cerebral angiography (TFCA), and each image reading report.

3) Risk factors for ischemic stroke

Risk factors for ischemic stroke include hyperlipidemia, diabetes, and hypertension, which were risk factors for acute myocardial infarction, and additional information such as aspirin use, carotid artery stenosis, female hormone status, and high homocysteinemia. Such information may be obtained from blood test strips (clinical test strips) and neurological test strips and history summary (ROS) data.

5A and 5B are views for explaining fusion medical information for a coronary artery according to an embodiment of the present invention.

5A and 5B, the fusion medical information for the coronary artery includes basic profile, vital profile, clinical profile, risk factor profile, medical profile, ), And disease domain information and disease symptom information may be fused and arranged for each profile item.

At this time, the fusion medical information about the coronary artery may be generated based on conceptual schema modeling, and then converted into a relational model (database). Further, in another embodiment, the convergence medical information may have an ontology structure.

On the other hand, the fusion medical information includes a reference relation between a plurality of items included in the fusion medical information and a plurality of clinical information referenced by a plurality of items, an item related to the position of the lesion with respect to the disease among the plurality of items, (Anatomy Relation), which will be described later with reference to FIG.

6A and 6B are views for explaining fusion medical information for the brain according to an embodiment of the present invention.

6A and 6B, the fusion medical information for the brain may include items such as a basic profile, a vital profile, a clinical profile, and a risk factor profile. And disease domain information and disease symptom information may be fused and arranged for each profile item.

However, although not shown in FIGS. 6A and 6B, the fusion medical information for the brain may further include an additional profile such as a medical profile.

In comparison with FIG. 5, it can be seen that the detailed items constituting the same clinical profile or the same risk factor profile item in FIG. 6 are different, And the like.

FIG. 7 is a view for explaining a reference relationship and an anatomical relationship of the fusion medical information according to an embodiment of the present invention.

7, medical image or clinical information (m1, m2, m3,...) Stored in an electronic medical record system (EMR), a medical image storage system (PACS) and a prescription delivery system (OCS) in a hospital information system (HIS). ...) and AMI-centric convergence record for acute myocardial infarction (AMI) can be displayed as reference relativity between each other, and for acute myocardial infarction (AMI) It is shown that the AMI-centric Convergence Record and Coronary Anatomy can be represented by anatomy relation.

More specifically, whether the items of the AMI-centric convergence record for acute myocardial infarction (AMI) are acquired from a medical image or which clinical information (m1, m2, m3, ....) (AMI) and the location of the lesion in the AMI-centric Convergence Record (AMI) are mapped to the detailed organs in the coronary artery anatomy Can be displayed in the Anatomy Relation.

This is equally applicable to the case of ischemic stroke.

9 is a flowchart illustrating a mapping table building method for enabling template-based image information according to an embodiment of the present invention.

In step 910, the information providing apparatus identifies the type and position of each of the plurality of sub-organs included in the template using the anatomical information of the corresponding body organ included in the disease domain information.

In step 920, the information providing apparatus maps the position of the lesion for the disease included in the fusion medical information to the position of the sub-organ corresponding to the lesion among the plurality of sub-organs.

In another embodiment, the information providing apparatus can perform the mapping based on the position of the plurality of lesions contained in the fusion medical information and the universal mapping table mapping the type and position of the sub-organs corresponding to each of the plurality of lesions. When the mapping is performed using the mapping table as described above, the mapping time can be shortened.

In step 930, the information providing apparatus generates screening history information in which the history information corresponding to the lesion is selected from the history information on the specific patient.

At this time, the medical history information may include a plurality of medical images for a specific patient, metadata for a plurality of medical images, annotation information about a medical image, and the like.

At this time, the information providing apparatus selects a specific patient to be an output of the template, collects history information about the selected selected patient, and selects history information corresponding to the lesion for the patient's disease from the collected history information It is possible to generate a screening history information.

In step 940, the information providing apparatus outputs the generated screening history information as a template in which the position of the sub-organ corresponding to the lesion is displayed.

Further, the information providing apparatus may store a patient-specific mapping table in which the history history information is mapped to the position of the sub-organ corresponding to the lesion. In addition, the patient-specific template may be stored in which the history history information is displayed at the position of the sub-organ corresponding to the lesion.

When the patient-specific mapping table and the patient-specific template are stored, when the physician examines the patient in the future, the stored patient-specific mapping table and the patient-specific template are output so that the patient's history information and the position and state of the lesion can be obtained .

10 is a view showing a state in which a sub-organ is identified in a coronary artery template according to an embodiment of the present invention.

10A is a right coronary artery predominant type coronary artery template, FIG. 10B is a left coronary artery predominant type coronary artery template, and FIG. 10C is an upper right coronary artery balance type. Fig.

10A is a subclavian artery predominant state in a case where the coronary artery template is a right coronary artery predominant type, FIG. 10B is a subordinate artery predominant state in the case of a left coronary artery predominant type, and the lower end of FIG. / Right coronary artery balance type.

Hereinafter, the case where the template is the right coronary artery predominant type, the left coronary artery predominant type, the left / right coronary artery balance type, and the state where the subordinate organs are identified will be described as follows.

1) When the template is a right coronary artery predominant type (bottom of FIG. 10A)

About 80% of the general population is of the right coronary artery predominant type. In this type, the right coronary artery is predominantly formed as shown in the lower part of FIG. 10A. The anatomical structure of the right coronary artery is divided into the main vessel segment (R1, R2, R3, R4), right coronary arterial branch segment (A1, A2), right coronary arterial segment (RD, RI, RP) The left anterior descending coronary artery (L1), the left coronary artery, the left coronary artery main vein segment (C1, C2, C3), and the left coronary arterial branch vein segment (S1, M1, M2). At this time, the right coronary artery segment (RD, RI, RP) can not be identified in the left coronary artery predominant type and is characteristic information that can be confirmed in the right coronary artery predominant type.

2) When the template is the left coronary artery predominant type (bottom of FIG. 10B)

About 15% of most people are left-sided coronary artery predominant types. In this type, the left coronary artery is predominantly formed as shown in the bottom of FIG. 10B. The anatomical structure of the left anterior descending coronary artery (L1, L2, L3), left main coronary artery (C1, C2, C3, C4) The left main coronary artery segment (CD, CP, CI), right coronary artery main artery segment (R1, R2, R3, R4) and right coronary arterial branch segment (A1, A2) . The left coronary artery segment (CD, CP, CI) can not be identified in the right coronary artery predominant type and is characteristic information that can be confirmed in the left coronary artery predominant type.

3) When the template is a left / right coronary artery balance type (bottom of FIG. 10C)

Only about 5% of the general population is left or right coronary artery balance type. This type has a balanced distribution of left and right coronary arteries as shown in the lower part of FIG. The anatomical structure information was obtained from the right coronary artery main artery segment (R1, R2, R3, R4), the left coronary artery main artery segment (L1) (A1, A2) and left coronary arterial branching vessel segments (S1, D1, M1, M2, M3) in the right coronary artery. In addition, it is composed of a form in which all of the caudal segments (RD, RP, RI, CD, CP, CI) that can be identified only in the right coronary artery predominant type or the left coronary artery predominant type can be identified.

11A and 11B are diagrams showing a state in which a sub-organ is identified in a brain template according to an embodiment of the present invention.

11A and 11B, 13 brain magnetic resonance image frames are selected as templates, and it is confirmed that the sub-organs are identified and displayed in each of the 13 templates.

12 is a diagram illustrating a method of generating a patient-specific mapping table according to an embodiment of the present invention.

The upper part of FIG. 12 shows an example of generating a patient-specific mapping table for acute myocardial infarction, and the lower part of FIG. 12 shows an example of generating a patient-specific mapping table for a stroke.

First, the embodiment of the upper part of FIG. 12 will be described as follows.

First, the coronary artery medical image file (file # 01) corresponding to acute myocardial infarction and metadata are collected.

Second, the metadata of the coronary artery medical image file is analyzed to extract the angle of rotation (angulation).

Third, based on the angle of view of the coronary artery medical image file, mapping information for mapping the position of the lesion in the coronary artery medical image file and the position of the sub-organs corresponding to the lesion in the template, and the vessel information of the coronary artery, Create a mapping table with information.

Fourth, a patient-specific mapping table is created by storing items of some of the mapping tables.

Next, the embodiment of the bottom of Fig. 12 will be described as follows.

First, the brain medical image file (file # 02) corresponding to the stroke and the metadata are collected.

Second, the metadata about the medical image file for the brain is analyzed, and the annotated tag information for the carotid artery medical image is extracted.

Third, the tag annotation information for the carotid artery medical image, the disease semantic information for the carotid artery, the location of the lesion on the carotid artery image, and the location of the sub-organs corresponding to the lesion in each of the three templates And generates a mapping table including mapping information to be mapped.

Fourth, a patient-specific mapping table is created by storing items of some of the mapping tables.

13 is a diagram showing a state in which a template showing history information of a patient is output according to an embodiment of the present invention.

Referring to FIG. 13, 13 brain templates are shown on the left side, and templates associated with the lesions are shown as templates 1, 7, and 10 marked with A, B, and C at the bottom.

In the middle of FIG. 13, an anatomical structure for a brain is shown, the position of the lesion is indicated by a green arrow, and the right side of FIG. 13 shows fusion history information related to a lesion indicated by a green arrow.

FIG. 14 is a view for explaining a template-based information providing apparatus for a disease-centered medical image according to an embodiment of the present invention.

14, a template-based information providing apparatus for disease-centered medical images according to an embodiment of the present invention includes a selecting unit 1410, a disease-based fusion information generating unit 1420, a template-based medical image managing unit 1430, And an output unit 1440.

The selection unit 1410 selects a disease.

The disease-centered fusion information generation unit 1420 generates fusion medical information by fusing disease domain information, which is theoretical medical information related to the analysis of the selected disease, and disease symptom information, which is medical information based on clinical experience necessary for the treatment of the selected disease .

The template-based medical image management unit 1430 selects at least one of a plurality of medical images or a plurality of medical images for a corresponding bodily organ corresponding to a disease of the patient as a template.

The output unit 1440 outputs the template showing the history information of the specific patient using the fusion medical information and the template.

Preferably, the apparatus for providing a template-based medical image for a disease-centered medical image according to an embodiment of the present invention includes a patient-specific mapping table in which the history history information is mapped to a position of a sub-organ corresponding to a lesion, (Not shown) for storing a template in which information is displayed at a position of a sub-organ corresponding to a lesion.

FIG. 15 is a diagram illustrating a UI of a disease-centered medical image providing application according to an embodiment of the present invention.

15 (b) is a UI showing a position of a lesion on a coronary artery template for acute myocardial infarction, and Fig. 15 (c) ) Is a UI showing a state in which three lesions are displayed in three out of 13 templates for a brain for stroke.

As described above, according to the embodiment of the present invention, it is possible to intuitively grasp the position, state, and degree of the lesion according to the disease of the patient through the template indicating the position of the lesion.

The present invention has been described with reference to the preferred embodiments. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

Claims (20)

A method of providing template-based information for a disease-based medical image,
Selecting a disease;
Generating fusion medical information by fusing disease domain information, which is theoretical medical information related to the analysis of the selected disease, and disease symptom information, which is medical information based on clinical experience necessary for the treatment of the selected disease;
Selecting at least one of a plurality of medical images or a plurality of medical images for a corresponding bodily organ corresponding to the selected disease as a template; And
And outputting a template showing the medical history information of the specific patient using the fusion medical information and the template,
Wherein the number of the selected templates is determined by the type of disease of the patient. The method according to claim 1,
Wherein the disease domain information is generated based on a plurality of medical documents describing a medical theory and includes anatomical information of the medical institution associated with the disease and the corresponding body organ,
The disease symptomatic information is generated based on a plurality of clinical information on the disease created by at least one physician, and includes information on abnormality and risk factors to be confirmed in relation to the disease A method for providing template - based information for disease - based medical images. 3. The method of claim 2,
The convergence medical information is generated based on conceptual schema modeling,
A reference relation between a plurality of items included in the fusion medical information and the plurality of clinical information referenced by the plurality of items, an item related to a position of a lesion for the disease among the plurality of items, Wherein the template-based information includes at least one of an anatomy and an anatomy. The method according to claim 1,
The step of selecting at least one of the plurality of medical drawings or medical images as a template
Collecting a plurality of medical drawings or medical images for the corresponding body organ from a medical drawing DB storing a plurality of medical drawings for the corresponding body organ or from at least one imaging medical instrument imaging the corresponding body organ; And
And selecting at least one medical drawing or medical image capable of expressing a lesion of the disease among the plurality of medical drawings or medical images as the template. . 5. The method of claim 4,
The step of selecting the at least one medical drawing or medical image as the template
Based on the input of at least one physician or based on the anatomical information of the corresponding body organ. 3. The method of claim 2,
Wherein the step of outputting the template displaying the medical history information of the specific patient using the fusion medical information and the template
Identifying the type and position of each of the plurality of sub-organs included in the template using the anatomical information of the corresponding body organ included in the disease domain information;
Mapping a position of a lesion to the disease included in the fusion medical information to a position of a sub-organs corresponding to the lesion among the plurality of sub-organs;
Generating screening history information for screening history information corresponding to the lesion from the history information about the specific patient; And
And outputting the generated template history information to the template indicating the type of the sub-organ corresponding to the lesion. The method according to claim 6,
The step of mapping the position of the lesion included in the fusion medical information to the position of the sub-organs of the type corresponding to the lesion among the plurality of sub-organs
Based on the position of the plurality of lesions included in the fusion medical information and the type and position of the sub-organs corresponding to each of the plurality of lesions, Information delivery method. The method according to claim 6,
The step of generating the screening history information selecting the history information corresponding to the lesion among the history information of the specific patient
Selecting the specific patient to be the subject of the template output;
Collecting history information about the selected specific patient; And
And generating screening history information by selecting the medical history information corresponding to the lesion from the collected medical history information. The method according to claim 6,
Wherein the step of outputting the template displaying the medical history information of the specific patient using the fusion medical information and the template
A mapping table for each patient in which the generated history history information is mapped to a position of a sub-organ corresponding to the lesion, and a template for displaying the generated history history information at a position of a sub-organ corresponding to the lesion, The method comprising the steps of: storing the template-based information for the disease-centered medical image; The method according to claim 6,
The history information for the specific patient is
Wherein the medical image includes at least one of a plurality of medical images for the specific patient, metadata for the plurality of medical images, and annotation information for the medical image. Way. The method according to claim 6,
Wherein the step of outputting the generated template history information to the template displaying the selected history information at the position of the sub-organ corresponding to the lesion
Wherein the fusion history information corresponding to the fusion medical information is further output from the medical history information for the specific patient. A selection unit for selecting a disease;
A disease-centered fusion information generation unit for generating fusion medical information by fusing disease domain information, which is theoretical medical information related to the analysis of the selected disease, and disease symptom information, which is medical information based on clinical experience necessary for the treatment of the selected disease;
A template-based medical image management unit for selecting at least one of a plurality of medical images or a plurality of medical images for a corresponding bodily organ corresponding to a disease of a patient as a template; And
And an output unit outputting a template showing the medical history information of a specific patient using the fusion medical information and the template,
Wherein the number of the selected templates is determined by the type of disease of the patient. 13. The method of claim 12,
Wherein the disease domain information is generated based on a plurality of medical documents describing a medical theory and includes anatomical information of the medical institution associated with the disease and the corresponding body organ,
The disease symptomatic information is generated based on a plurality of clinical information on the disease created by at least one physician, and includes information on abnormality and risk factors to be confirmed in relation to the disease Based information providing apparatus for disease-based medical images. 14. The method of claim 13,
The convergence medical information is generated based on conceptual schema modeling,
A reference relation between a plurality of items included in the fusion medical information and the plurality of clinical information referenced by the plurality of items, an item related to a position of a lesion for the disease among the plurality of items, And an anatomical relation (Anatomy Relation), which is a relation between the subject and the subject. 13. The method of claim 12,
The template-based medical image management unit
Collecting a plurality of medical drawings or medical images for the corresponding body organ from a medical drawing DB storing a plurality of medical drawings for the corresponding body organ or from at least one imaging medical instrument that has photographed the corresponding body organ, Wherein at least one medical drawing or medical image capable of expressing a lesion of the disease among a plurality of medical drawings or medical images is selected as the template. 16. The method of claim 15,
The template-based medical image management unit
The operation of selecting at least one of a plurality of medical images or a plurality of medical images for a corresponding bodily organ corresponding to the disease of the patient as a template is performed based on at least one physician's input or anatomical information of the corresponding bodily organ Wherein the template-based information providing apparatus comprises: 14. The method of claim 13,
The output
Identifying the type and position of each of the plurality of sub-organs included in the template using the anatomical information of the corresponding body organ included in the disease domain information, and determining the position of the lesion for the disease included in the fusion medical information Generating a history history information in which history information corresponding to the lesion is selected from history information of the specific patient, mapping the history history information to a position of a sub-organ corresponding to the lesion among the plurality of sub-organs, And outputs the template displaying the history history information at the position of the sub-organ corresponding to the lesion. 18. The method of claim 17,
The output
The position of the lesion included in the fusion medical information is determined based on the position of the lesion included in the fusion medical information and the type and position of the sub-organs corresponding to each of the plurality of lesions, Based on the position of the sub-organs corresponding to the lesion among the sub-organs of the disease-centered medical image. 18. The method of claim 17,
The output
When generating the screening history information selecting the history information corresponding to the lesion from the history information of the specific patient,
Selecting the specific patient to be the subject of the template output, collecting history information about the selected selected patient, and generating screening history information that selects the history information corresponding to the lesion from the collected history information A template-based information providing device for disease-centered medical images. 18. The method of claim 17,
A mapping table for each patient in which the generated history history information is mapped to a position of a sub-organ corresponding to the lesion, and a template for displaying the generated history history information at a position of a sub-organ corresponding to the lesion, Wherein the template-based information providing unit is further configured to store the template-based information for the disease-centered medical image.

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