Medical Image Mapping Chart for Anatomical Position Detection
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Solution Overview
Problem
Radiological interpretation in medical imaging is burdensome due to the need for technical expertise to accurately identify and annotate anatomical positions within vast amounts of medical image data, making early detection and diagnosis challenging.
Innovation Solution
A medical image processing apparatus that detects anatomical positions using machine learning and pattern recognition, generates mapping charts by marking these positions on human body charts, and displays them for easy identification, facilitating the selection of relevant images and annotations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual radiological interpretation is performed by doctors, then accurate diagnosis can be achieved, but the workload becomes enormous and time-consuming due to the vast amount of medical image data
Solution Approach 1:
The patent introduces a computer-based image processing system as an intermediary between the medical images and the doctor. This system automatically detects anatomical positions, generates mapping charts, and identifies key images, thereby reducing the manual workload while maintaining diagnostic accuracy. The computer acts as a mediator that handles the tedious tasks of image navigation and anatomical landmark identification.
Solution Approach 2:
The system enables self-service by automatically performing tasks that would otherwise require manual expert intervention. The computer autonomously detects anatomical positions, generates mapping charts, and identifies key images without continuous human guidance, allowing the system to serve itself in processing and organizing medical image data.
2Measurement precision
If manual identification of anatomical positions is performed, then accurate anatomical site recognition can be achieved, but technical expertise is required which increases the complexity of the operation
Solution Approach 1:
The computer-based system serves as an intermediary that bridges the gap between raw medical images and accurate anatomical position identification. It automatically detects anatomical landmarks and generates mapping charts, eliminating the need for operators to possess specialized anatomical knowledge while maintaining high positional accuracy.
Solution Approach 2:
The patent replaces the manual mechanical process of anatomical landmark identification with an automated computer-based detection system. The computer algorithms substitute for human expert visual inspection and manual measurement, achieving high precision without requiring technical expertise from the operator.
3Reliability
If all medical images are displayed for review, then comprehensive analysis can be performed, but the sheer volume of images makes it difficult to locate specific anatomical sites and key findings
Solution Approach 1:
The patent segments the large volume of medical images by generating mapping charts that divide the image set into meaningful sections based on anatomical positions. The system identifies and highlights key images containing specific anatomical sites or findings, allowing doctors to navigate through segmented groups rather than reviewing every single image sequentially.
Solution Approach 2:
The system extracts and extracts key information from the vast image dataset by automatically identifying and highlighting key images that contain anatomical sites or findings. This extraction process separates the critical diagnostic information from the redundant images, allowing rapid location of important findings without comprehensive review of all images.
Data Source
AI summary
According to one embodiment, a medical image processing apparatus and a medical image processing system includes at least a position detecting unit, a human body chart storage unit, a mapping chart generating unit, and a display. A position detecting unit detects a position of a characteristic local structure in a human body from the medical image. A human body chart storage unit stores a human body chart that represents the human body. A mapping chart generating unit generates a mapping chart that is the human body chart to which a mark indicating a position of the local structure detected by the position detecting unit is added. A display displays the mapping chart.