KR-20260067084-A - Medical Twin Model System with Property Changes of Biomaterials and Method Thereof

KR20260067084AKR 20260067084 AKR20260067084 AKR 20260067084AKR-20260067084-A

Abstract

The present invention aims to provide a system and method capable of displaying a structure reflecting the physical characteristics of a human organ and a distribution according to changes in the properties of biomaterials constituting the human organ, by utilizing Hounsfield units representing the displayed images and physical characteristics of DICOM data. To this end, the invention provides a medical twin model system having changes in the properties of biomaterials, comprising: a DICOM data input unit that receives DICOM (Digital Imaging and Communications in Medicine) data; an organ structure generation unit that generates a human organ structure by applying a filtering algorithm that adds Hounsfield unit characteristics for each organ of the human body to the DICOM data; a digital twin modeling unit that models the generated human structure into a three-dimensional digital twin structure; and a biomaterial property change analysis unit that analyzes the Hounsfield units included in the DICOM data to determine differences in the properties of biomaterials constituting the organ within the same organ and displays changes in the properties of biomaterials within the same organ.

Inventors

윤석일

Assignees

윤석일

Dates

Publication Date: 20260512
Application Date: 20241105

Claims (14)

DICOM data input unit for receiving DICOM (Digital Imaging and Communications in Medicine) data; An organ structure generation unit that generates a human organ structure by applying a filtering algorithm that adds Hounsfield unit characteristics for each organ of the human body to the above-mentioned DICOM data; A digital twin modeling unit that models the generated human body structure into a three-dimensional digital twin structure; and A biomaterial property change analysis unit that analyzes the Hounsfield unit included in the above-mentioned DICOM data to determine the difference in properties of the biomaterial constituting the institution within the same institution and displays the change in properties of the biomaterial within the same institution; A medical twin model system having changes in the properties of a biomaterial including
In paragraph 1, An image processing unit that performs an image processing method using artificial intelligence on the human organ structure generated from the organ structure generation unit to more clearly distinguish and generate inaccurate organ structures and boundaries; A medical twin model system having a change in the properties of a biomaterial, characterized by further including
In paragraph 1, The above-mentioned biomaterial property change analysis unit is, A density distribution analysis module that analyzes changes in Hounsfield units within the same organ to analyze and display the density based on differences in the properties of biomaterials constituting the organ within the same organ; A medical twin model system having a change in the properties of a biomaterial, characterized by further including
In paragraph 3, The above density distribution analysis module is, A medical twin model system having changes in the properties of biomaterials, characterized by big data analysis of the above-mentioned DICOM data considering one or more of racial characteristics, age characteristics, gender characteristics, and regional characteristics, generating a standard density distribution of biomaterials within the same institution for the analyzed characteristics, and displaying the density distribution of biomaterials within the same institution by referring to one or more generated standard density distributions.
In paragraph 1, The above-mentioned biomaterial property change analysis unit is, A biomaterial change prediction module that analyzes big data by considering one or more of the racial, age, gender, and regional characteristics of the above Hounsfield unit, and the patient's medical history, and predicts temporal changes in biomaterial properties within the same institution using the Hounsfield unit for the characteristics analyzed through artificial intelligence; A medical twin model system having a change in the properties of a biomaterial, characterized by further including
In paragraph 1, When an artificial medical device needs to be attached to the above-mentioned human organ, an artificial medical device attachment guide display unit that indicates a guide portion for attaching the artificial medical device by utilizing the characteristics of the said human organ and changes in the properties of the said biomaterial of the said human organ; A medical twin model system having a change in the properties of a biomaterial, characterized by further including
a) A step in which an organ structure generation unit generates the structure of each organ of the human body by applying a filtering algorithm that considers the characteristics of each organ of the human body to DICOM (Digital Imaging and Communications in Medicine) data; b) A step in which a biomaterial property change analysis unit analyzes the Hounsfield unit included in the above-mentioned DICOM data to determine the difference in properties of the biomaterial constituting the organ within the same organ and displays the change in properties of the biomaterial within the same organ; and c) A step in which a digital twin modeling unit models a human body structure with changes in the properties of biomaterials within the same organ as a 3D digital twin structure; A medical twin model method having a change in the properties of a biomaterial including
In Paragraph 7, d) A step in which an image processing unit performs an image processing method on the human organ structure generated by the organ structure generation unit to generate organ-specific structures and boundaries more clearly; A medical twin model method having a change in the properties of a biomaterial, characterized by further including
In Paragraph 7, The above step b) is, b-1) A step comprising a density change analysis module, wherein the density change analysis module analyzes the change in Hounsfield units within the same organ and analyzes and displays the density according to the difference in properties of the biomaterial constituting the organ within the same organ; A medical twin model method having a change in the properties of a biomaterial, characterized by further including
In Paragraph 7, The above step b) is, b-2) A step comprising a density change analysis module, wherein the density change analysis module performs big data analysis on the DICOM data by considering one or more of racial characteristics, age characteristics, gender characteristics, and regional characteristics, generates a standard density distribution of biomaterials within the same institution for the analyzed characteristics, and displays the density change of biomaterials within the same institution by referring to one or more of the generated standard density distributions; A medical twin model method having a change in the properties of a biomaterial, characterized by further including
In Paragraph 10, The above step b) is, b-3) A step comprising a biomaterial change prediction module, wherein the biomaterial change prediction module performs big data analysis of the DICOM data by considering one or more of racial characteristics, age characteristics, gender characteristics, regional characteristics, and patient medical history, and predicts and displays the temporal change in biomaterial properties within the same institution regarding the characteristics analyzed through artificial intelligence; A medical twin model method having a change in the properties of a biomaterial, characterized by further including
In Paragraph 7, e) A step in which an artificial medical device attachment guide display portion displays a guide portion for attaching the artificial medical device by utilizing the characteristics of the corresponding human organ and changes in the properties of the biomaterial of the corresponding human organ; A medical twin modeling method having a change in the properties of a biomaterial, characterized by further including
A computer-readable recording medium storing a program for implementing a method of medical twin modeling having a change in the properties of a biomaterial as described in any one of claims 7 to 12.
A program stored on a computer-readable recording medium for implementing a medical twin modeling method having a change in the properties of a biomaterial as described in any one of claims 7 through 12.

Description

Medical Twin Model System with Property Changes of Biomaterials and Method Thereof The present invention relates to a medical twin model system and method having changes in the properties of biomaterials, and more specifically, to a medical twin model system and method capable of generating a precise three-dimensional digital twin human body structure by applying a filtering algorithm for each organ of the human body to DICOM data, and additionally displaying changes in the properties of biomaterials by considering the physical and chemical characteristics of the biomaterials for each organ of the human body. DICOM (Digital Imaging and Communications in Medicine) data is a standard format primarily used to store and transmit medical images, referring to medical images such as CT, MRI, and X-ray. These DICOM data are two-dimensional images, and three-dimensional human medical images can be constructed using these DICOM data. However, the technology for forming a three-dimensional human body structure using conventional DICOM data is merely a technology that generates the displayed image of the DICOM data through software processing and cannot display the actual physical structure of the human body and the distribution according to changes in the properties of the biomaterials constituting the human organs together. Therefore, when performing medical procedures using a 3D human body structure based on conventional DICOM data, a problem arises in that medical procedures are performed without considering the properties of the biomaterials of the human organs. For example, when implant medical devices such as artificial joints and artificial teeth are attached, only uniform medical procedures are performed that do not take into account the patient's characteristics and changes in the properties of the biomaterials constituting the organ, resulting in many side effects occurring over time after the attachment of the artificial medical device. FIG. 1 is a diagram illustrating a medical twin model system having a change in the properties of a biomaterial as an embodiment of the present invention. Figure 2 is a configuration diagram of a medical twin model system having a change in the properties of a biomaterial as an embodiment of the present invention. FIG. 3 is a diagram illustrating the formation of a three-dimensional human organ structure from DICOM data as an embodiment of the present invention. FIGS. 4 and FIGS. 5 are drawings illustrating an embodiment of the present invention that clearly displays the structure of a human organ through image processing. FIG. 6 is a diagram illustrating an embodiment of the present invention of analyzing the properties of biomaterials constituting human organs by analyzing the Hounsfield unit of a human organ, and displaying the density distribution according to the results of the analysis. Figure 7 is a diagram showing the distribution of bone density of the femur and tibia through a density distribution analysis module as an embodiment of the present invention. FIG. 8 is a diagram illustrating the prediction and display of temporal changes in the properties of biomaterials within a human organ as an embodiment of the present invention. FIG. 9 is a drawing illustrating a guide portion for attaching an artificial medical device as an embodiment of the present invention. FIGS. 10 to 12 are drawings for explaining a medical twin model method having a change in the properties of a biomaterial as an embodiment of the present invention. The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described in detail below together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but will be implemented in various different forms. The embodiments described in this specification are provided to ensure that the disclosure of the invention is complete and to fully inform those skilled in the art of the scope of the invention. And the present invention is defined only by the scope of the claims. Accordingly, in some embodiments, well-known components, well-known operations, and well-known techniques are not specifically described to avoid the invention being interpreted ambiguously. Additionally, throughout the specification, the same reference numerals refer to the same components, and the terms used (mentioned) in this specification are for describing embodiments and are not intended to limit the invention. In this specification, the singular form includes the plural form unless specifically stated otherwise in the text, and components and operations referred to as 'comprising (or comprising)' do not exclude the presence or addition of one or more other components and operations. Unless otherwise defined, all terms used in this specification (including technical and scientific terms) may be used in a meaning that is commonly understood by tho