Joint Space Region Division for Medical Image Processing
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Solution Overview
Problem
Current medical image processing technologies face challenges in accurately and efficiently evaluating joint spaces between bones, particularly in three-dimensional medical image data, due to limitations in automated detection and measurement of joint spaces across multiple bones, and are often restricted to specific joints or prone to errors from artifacts.
Innovation Solution
A medical image processing apparatus and X-ray CT apparatus that detect joint space regions by identifying perpendicular planes equidistant from bones, divide these regions into smaller areas corresponding to pairs of bones, and calculate relevant parameters, enabling accurate and simplified quantitative evaluation of joint spaces across various joints and bone configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated measurement techniques are used for joint space evaluation, then productivity is improved, but measurement precision deteriorates due to artifacts and limitations in existing algorithms
Solution Approach 1:
The joint space region is divided into multiple sub-regions based on anatomical landmarks and bone structures. By segmenting the overall joint space into smaller manageable portions, the system can apply different measurement strategies to each segment, improving overall measurement precision while maintaining automated processing efficiency.
Solution Approach 2:
The patent introduces intermediate processing steps including artifact detection and correction modules that act as mediators between the raw image data and the final measurement results. These intermediary processes filter out artifacts and improve the quality of input data for measurement algorithms, thereby enhancing measurement precision without sacrificing automation.
2Measurement precision
If dedicated computer programs are developed for specific joints, then measurement precision is improved for those joints, but device complexity increases and adaptability to other joints deteriorates
Solution Approach 1:
The patent develops a universal joint space measurement system that can handle multiple joint types (knee, hip, elbow, etc.) through a single integrated platform. The system uses generalizable image processing algorithms and anatomical feature detection that can be adapted to different joint configurations, eliminating the need for separate dedicated programs for each joint type while maintaining measurement precision across various joints.
Solution Approach 2:
The system employs adjustable measurement parameters and configurable anatomical landmarks that can be modified based on the specific joint being evaluated. By allowing dynamic parameter changes rather than requiring separate programs, the system achieves both precision for specific joints and versatility across different joint types.
3Measurement precision
If manual measurement methods are used by operators, then measurement precision is maintained through expert judgment, but productivity deteriorates due to time-consuming processes
Solution Approach 1:
The system implements automated detection of anatomical landmarks, bone structures, and joint space boundaries using image processing algorithms. The measurement process serves itself by automatically identifying features and calculating measurements without requiring manual intervention, thereby maintaining productivity while improving precision through consistent algorithmic application.
Solution Approach 2:
The system incorporates feedback mechanisms where measurement results are validated against anatomical plausibility criteria and can be automatically corrected. This feedback loop ensures measurement precision comparable to expert manual measurement while maintaining the speed of automated processing.
Data Source
AI summary
A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry detects three or more bones and a joint space region from three-dimensional medical image data captured for images of a joint formed between the three or more bones, the joint space region corresponding to a joint space of the joint. The processing circuitry divides the joint space region into a plurality of small regions corresponding to different pairs of opposed bones of the three or more bones. The processing circuitry obtains information on each of the small regions based on the small regions into which the joint space region has been divided that correspond to the different pairs of bones. The processing circuitry outputs the obtained information.