Anatomical Feature Diagnostic Model Generation
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Solution Overview
Problem
Conventional biomedical imaging systems struggle to process complex biomedical data efficiently, leading to inadequate speed and granularity in supporting individualized patient care.
Innovation Solution
A method is developed to generate a diagnostic model and user interface presentation based on individual anatomical features, involving the characterization of anatomical features, generation of diagnostic language objects, segmentation of anatomical features, and embedding these features in a diagnostic template, while modifying diagnostic language objects based on their branch associations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional biomedical imaging systems are used to process complex biomedical data, then the system structure is simple, but the processing speed and granularity are insufficient to support individualized patient care
Solution Approach 1:
The patent segments the biomedical imaging system into multiple specialized modules including image acquisition module, image processing module, feature extraction module, diagnostic model generation module, and user interface module. Each module handles specific tasks independently, enabling parallel processing and improving overall processing speed while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent transitions from conventional 2D imaging processing to 3D volumetric analysis by generating three-dimensional anatomical models from multiple imaging planes. This dimensional enhancement allows for more comprehensive feature extraction and diagnostic analysis, improving processing capability and diagnostic granularity.
2Measurement precision
If conventional biomedical imaging systems are used, then the device complexity is low, but the diagnostic granularity and individualization capability are insufficient
Solution Approach 1:
The patent implements local quality analysis by extracting specific anatomical features and characteristics from different regions of the biomedical images. The system identifies and analyzes localized anatomical structures, pathologies, and measurements with high precision, enabling individualized diagnostic assessments tailored to each patient's specific anatomical variations.
Solution Approach 2:
The system performs preliminary processing of biomedical images including normalization, enhancement, and pre-segmentation before main diagnostic analysis. Diagnostic templates and language objects are prepared in advance, and anatomical models are pre-generated to enable faster, more granular analysis during actual diagnostic operations.
3Reliability
If detailed anatomical feature analysis is performed to support individualized care, then diagnostic accuracy improves, but processing time and computational load increase
Solution Approach 1:
The patent performs preliminary generation of anatomical models, feature extraction templates, and diagnostic language objects before actual diagnostic queries. By pre-processing images to extract key anatomical features and pre-generating relevant diagnostic templates, the system reduces computational load during actual diagnosis while maintaining high accuracy through comprehensive pre-analyzed anatomical data.
Data Source
AI summary
Example implementations also include a method of generating a diagnostic model and user interface presentation based on individual anatomical features, by generating a distance associated with a subset of anatomical features, characterizing the anatomical features based on one or more feature metrics, generating one or more diagnostic language objects based on one or more diagnostic language metrics, segmenting one or more of the anatomical features based on a diagnostic template, embedding one or more of the segments anatomical features in the diagnostic template, and modifying at least one of the diagnostic language objects, in response to a determination that the diagnostic language object is associated with a separate branch of the tree from another one of the diagnostic language objects.