Medical Image Processing Malignancy Discrimination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing medical image processing systems struggle to quickly and accurately select necessary medical images for diagnosis, particularly when the priority is determined based on bleeding presence and degree, leading to potential oversight of lesions without bleeding or serious lesions in images with different color schemes.
Innovation Solution
A medical image processing apparatus that discriminates the type and degree of malignancy in abnormal regions, using a correspondence table to prioritize and emphasize medical images based on malignancy, and adjusts display parameters such as size, color, and emphasis flags to highlight high-malignancy images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If priority is determined based on bleeding presence and degree, then bleeding detection accuracy is improved, but lesions without bleeding or serious lesions in different color scheme images may be overlooked
Solution Approach 1:
The system changes the evaluation parameters from bleeding-specific metrics (red color, red density) to malignancy-based metrics that incorporate multiple factors including lesion type, degree of progress, and imaging conditions. This allows comprehensive evaluation of different lesion types regardless of color scheme.
Solution Approach 2:
The malignancy discrimination unit creates a universal evaluation system that handles multiple lesion types (bleeding, non-bleeding, different color schemes) through a single malignancy degree metric, making the priority determination applicable to all lesion categories.
2Ease of operation
If a display list of multiple medical images is presented, then image selection capability is improved, but quick and accurate selection of necessary images becomes difficult when the number of images is large
Solution Approach 1:
The system performs preliminary priority determination and malignancy discrimination before presenting the display list, pre-organizing images by malignancy degree. This allows doctors to quickly access high-priority images without manual searching through large numbers of images.
Solution Approach 2:
The display control unit applies different display characteristics to images based on their priority level, emphasizing high-malignancy images through visual differentiation. This allows quick identification of important images within the display list without requiring review of all images.
3Device complexity
If simple list display of medical images is used, then device complexity is reduced, but ability to help doctors quickly find necessary images is insufficient
Solution Approach 1:
The system automatically performs malignancy discrimination and priority determination without requiring manual intervention from doctors. The abnormal region determination unit and malignancy discrimination unit autonomously analyze images and organize them by priority, improving diagnosis efficiency without adding operational complexity.
Solution Approach 2:
The system introduces an intermediary processing layer (abnormal region determination unit and malignancy discrimination unit) between image acquisition and display. This intermediary automatically filters and prioritizes images, bridging the gap between simple display and intelligent image selection assistance.
Data Source
Figure 1
Figure 2~3
Figure 4~5
AI summary
Provided is a medical image processing apparatus capable of selecting medical images necessary for diagnosis or the like more quickly and accurately than before, in presenting a display list of a plurality of medical images. A medical image processing apparatus (10) includes: a medical image acquisition unit (11) that acquires a medical image including a subject image; a display unit (13) that displays a plurality of the medical images; an abnormal region determination unit (51) that determines an abnormal region by using the medical images; a malignancy discrimination unit (52) that discriminates a degree of malignancy of an abnormality included in the abnormal region; and a display control unit (15) that emphasizes or suppresses display of at least some medical images among the plurality of medical images by using the degree of malignancy, in displaying the plurality of medical images on the display unit.