Breast Image Selection by Mammary Gland Volume
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Solution Overview
Problem
Users face difficulty in selecting a desired breast image from multiple images based on mammary gland volume type, as existing techniques require manual searching among numerous images.
Innovation Solution
An image processing apparatus and method that acquires multiple breast images, displays selection candidate images based on mammary gland volume types, and extracts images for each type, facilitating easy selection and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple breast images are stored and displayed without classification, then the quantity of available images is increased, but the difficulty of selecting a desired image increases
Solution Approach 1:
The patent segments the breast images into different categories based on mammary gland volume type (e.g., small, medium, large volumes). The display interface is divided into separate sections or tabs for each volume type, allowing users to navigate and select images within specific categories rather than searching through all images uniformly. This segmentation reduces the cognitive load and search time when selecting images for reporting.
2Device complexity
If breast images are displayed without organized classification, then the simplicity of the display system is maintained, but the time required for image selection increases
Solution Approach 1:
The system performs preliminary classification of breast images by mammary gland volume type before they are made available for selection. This pre-organization is done automatically based on image analysis results, so that when a user needs to select an image, the images are already sorted and ready in predetermined categories. This preliminary action eliminates the need for users to manually search or filter images, significantly reducing selection time while adding minimal complexity to the display system.
3Adaptability or versatility
If manual searching of breast images is required, then the flexibility of image selection is maintained, but the user workload increases
Solution Approach 1:
The system provides self-service functionality by automatically classifying and organizing breast images according to their mammary gland volume characteristics. The classification is performed autonomously based on image analysis, and the system presents pre-sorted images to users without requiring manual intervention for categorization. Users can still flexibly select images across different volume types, but the workload is reduced because the heavy lifting of classification and organization is done by the system itself.
Data Source
AI summary
An image processing apparatus includes at least one processor, in which the processor acquires a plurality of breast images, displays, according to any one mammary gland volume type among a plurality of mammary gland volume types assigned to each of the plurality of acquired breast images based on a mammary gland volume of a breast, a plurality of selection candidate images corresponding to each of the plurality of breast images for each mammary gland volume type, and extracts a breast image selected for each mammary gland volume type from the plurality of breast images based on the plurality of selection candidate images displayed for each of the mammary gland volume types.