Medical Image Texture Analysis Region Exclusion
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Solution Overview
Problem
Conventional medical image processing apparatuses face challenges in accurately setting a region of interest (ROI) for texture analysis, as manual selection is prone to errors, and automatic selection may include unwanted regions, leading to reduced analysis accuracy due to inclusion of outer border areas.
Innovation Solution
A medical image processing apparatus that sets an analysis region by excluding the outer border of the ROI, using a predetermined margin or based on anatomical features, to ensure accurate texture analysis by isolating the target region from surrounding influences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection of region of interest ROI is performed, then user can select target region, but selection accuracy deteriorates due to human error
Solution Approach 1:
The system performs automatic ROI selection through image analysis, eliminating the need for manual user selection. The computer automatically identifies and selects the target region based on image data, thereby avoiding human error while maintaining operational simplicity.
Solution Approach 2:
The manual mechanical selection process is replaced with an automated image analysis system that uses computational algorithms to identify and select the ROI, substituting human operation with a mechanical/computational system that provides higher precision.
2Productivity
If automatic selection of region of interest ROI is performed by image analysis, then selection efficiency is improved, but selection accuracy deteriorates due to analysis errors
Solution Approach 1:
The system extracts and excludes the outer border region from the automatically selected ROI. By removing the problematic border area that contains analysis errors or unwanted regions, the system improves the accuracy of the final analysis region while maintaining the efficiency of automatic selection.
Solution Approach 2:
The ROI is divided into two parts: the target region for analysis and the outer border region to be excluded. This segmentation allows the system to retain the efficient automatic selection of the overall ROI while selectively removing the inaccurate border portions.
3Area of stationary object
If outer border region of ROI is included in analysis, then analysis coverage is maximized, but analysis accuracy deteriorates due to inclusion of non-target regions
Solution Approach 1:
The outer border region is extracted and excluded from the analysis region. This removes non-target areas that would contaminate the texture analysis, thereby improving measurement precision while maintaining analysis of the core target region.
Solution Approach 2:
Different regions of the ROI are treated differently: the inner target region is analyzed for texture features while the outer border region is excluded. This local differentiation ensures that analysis is applied only where it is appropriate and accurate.
Data Source
AI summary
In one embodiment, a medical image processing apparatus includes memory circuitry configured to store a program; and processing circuitry configured, by executing the program, to set a region of interest in a medical image, set an analysis region in the region of interest by reducing the region of interest, and calculate feature amount in the analysis region.