Image Observation Apparatus Multi-Area List Generation
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Solution Overview
Problem
Current image observation apparatuses in medical diagnostics face inefficiency due to the time-consuming process of selecting desired image data from a comprehensive list of all received image data, leading to operator inefficiency.
Innovation Solution
The apparatus includes a condition storage and list generation circuitry that stores and generates display target conditions for multiple display areas, allowing for the creation of specialized image lists within these areas, enabling operators to efficiently select and display specific image data based on criteria such as modality ID, imaging date, and type information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a comprehensive image list of all received image data is displayed, then complete image data coverage is achieved, but selection time increases significantly
Solution Approach 1:
The patent divides the comprehensive image list into multiple category-based sublists (e.g., by modality, examination type, date). Each display area shows a specific category sublist rather than the entire image database, enabling operators to quickly locate relevant images without searching through all data. This segmentation maintains complete image data coverage while dramatically reducing selection time.
Solution Approach 2:
The system pre-categorizes and organizes image data into multiple classification categories before display. Image lists are automatically generated and sorted by relevant attributes (modality, examination type, date) in advance, so when operators need to select images, the data is already structured and ready for quick access without requiring manual filtering or searching.
2Adaptability or versatility
If multiple types of image data are simultaneously displayed in multiple areas, then comprehensive observation capability is improved, but device complexity increases
Solution Approach 1:
The image observation apparatus implements a universal display framework where a single system can simultaneously handle multiple image types, modalities, and categorization schemes across different display areas. The same hardware and software infrastructure supports diverse observation needs (morphological, functional, comparative studies) without requiring separate specialized systems, achieving multi-functionality while controlling complexity.
Solution Approach 2:
The patent organizes multiple image lists in a spatial dimension across different display areas rather than stacking them temporally or requiring sequential access. Each display area presents a different categorized view of image data simultaneously, adding a spatial dimension to data access that enables comprehensive observation without increasing temporal complexity or processing burden.
Data Source
AI summary
According to one embodiment, an image observation apparatus includes a condition storage, list generation circuitry, and a display. The condition storage stores a plurality of display target conditions respectively corresponding to a plurality of display areas in a display screen. The list generation circuitry generates a plurality of image lists respectively corresponding to the plurality of display areas, which concern additional items of a plurality of images respectively corresponding to the display target conditions. The display displays the plurality of image lists in the plurality of display areas, and an image corresponding to an additional item selected from the plurality of displayed image lists in the corresponding display area.