3D Joint Damage Visualization via Tissue Segmentation
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Solution Overview
Problem
Conventional methods for determining damage to anatomical joints, such as those involving bone marrow lesions, are inadequate as they fail to detect damage to the subchondral bone plate and do not provide conclusive information about cartilage status or joint functionality, limiting the assessment of joint damage extent.
Innovation Solution
A system and method that create decision support materials by receiving radiology images, generating three-dimensional image representations, identifying tissue parts like cartilage and bone, determining damage through image analysis, and marking it in the images, allowing for visualization of joint damage and recommending suitable treatments like implants or transfer guide tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional bone marrow lesion detection methods are used, then the detection process is simple, but the detection precision is insufficient as they fail to detect subchondral bone plate damage and provide incomplete cartilage status information
Solution Approach 1:
The patent segments the joint analysis into multiple tissue types (cartilage, bone, tendons, ligaments) and performs separate damage detection for each. The image analysis process divides the joint into anatomical regions and evaluates damage independently for each tissue type, enabling comprehensive detection without requiring a single complex detection system.
Solution Approach 2:
The patent transitions from conventional two-dimensional imaging to three-dimensional image representation of the joint. This dimensional enhancement allows visualization of damage in multiple planes and provides comprehensive spatial information about cartilage status, bone damage, and tissue integrity that cannot be obtained from flat images alone.
2Loss of information
If only bone marrow lesion detection is performed, then the analysis time is reduced, but the information completeness is insufficient as it cannot assess overall joint damage extent or cartilage status
Solution Approach 1:
The patent creates a multi-functional analysis system that simultaneously evaluates multiple tissue types (cartilage, bone, tendons, ligaments) and multiple damage parameters within a single integrated process. The system performs segmentation, 3D reconstruction, and damage detection across all joint components in one workflow, eliminating the need for separate analyses for each tissue type.
Solution Approach 2:
The patent performs preliminary segmentation and 3D reconstruction of the joint structure before damage detection. By pre-processing the images to create accurate three-dimensional models and identify tissue boundaries in advance, the system enables faster subsequent damage assessment across all tissue types without repeating the entire analysis pipeline.
3Productivity
If medical experts manually analyze image data and create annotations, then the diagnostic accuracy is maintained, but the productivity is low as only a fraction of gathered information can be communicated
Solution Approach 1:
The patent creates detailed three-dimensional digital copies of the joint structure that preserve all anatomical information. These 3D models serve as comprehensive information carriers that can be viewed from multiple angles and contain complete spatial data about tissue integrity, eliminating the information loss that occurs when reducing complex expert observations to simple 2D annotations.
Solution Approach 2:
The patent introduces an automated image analysis system as an intermediary between the raw imaging data and the medical expert. This intermediary performs preliminary evaluation of all tissue types, generates structured damage reports, and presents organized findings to the expert, thereby capturing and communicating much more information than direct manual annotation alone.
Data Source
AI summary
A system for creating decision support material indicating damage to an anatomical joint of a patient. The system is configured to: i) receive a series of radiology images of at least a part of the anatomical joint; ii) obtain a three-dimensional image representation of the at least part of the anatomical joint; iii) identify tissue parts of the anatomical joint using image analysis; iv) determine damage to the anatomical joint by analyzing said image representation; v) mark damage to the anatomical joint in the obtained three-dimensional image representation; and vi) generate decision support material. The analysis comprises: detecting an irregular shape of a contour of a tissue part; and/or detecting that the intensity in an area within or adjacent to bone and/or cartilage parts differs from a predetermined value; and/or comparing at least one identified tissue part with a template representing a predefined damage pattern for an anatomical joint.