Dentition CT Annotation Sequencing for Multi-Region Recognition
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Solution Overview
Problem
Existing technologies require significant time and effort to identify and recognize multiple regions of interest in CT scan images, particularly in dentition CT imaging, and often fail to accurately display all relevant features without omission.
Innovation Solution
An image processing apparatus and method that generates three-dimensional image data of dentition constituent tissue, detects and identifies biological feature regions, superimposes annotation images on a developed image to indicate these regions, and controls the focus order for clear visualization of these features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple regions of interest are displayed on CT scan images, then comprehensive detection is improved, but recognition time and effort increase significantly
Solution Approach 1:
The patent segments the complex task of recognizing multiple regions of interest by organizing them in a structured sequence. The system processes regions in a predetermined order (e.g., by anatomical location or priority), allowing the observer to systematically go through each region without overwhelming complexity. This segmentation of the recognition task reduces the time and effort required while maintaining comprehensive detection of all regions.
2Loss of information
If multiple regions of interest are displayed simultaneously, then complete information is provided, but ease of recognition deteriorates
Solution Approach 1:
The patent introduces dynamic elements to the display of multiple regions of interest. Regions are highlighted or emphasized sequentially rather than all at once, and the system can dynamically adjust which region is currently emphasized based on the predetermined order. This dynamic presentation maintains complete information availability while significantly improving ease of recognition by guiding the observer's attention through time rather than presenting everything simultaneously.
3Measurement precision
If CT scan images are processed to detect all biological feature regions, then detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing a predetermined order for recognizing biological feature regions before the actual detection process begins. This order is based on anatomical knowledge, clinical priority, or spatial arrangement. By having this predetermined sequence ready in advance, the system can efficiently process and detect regions without complex real-time decision-making, thus improving detection accuracy while managing processing complexity through pre-planned organization.
Data Source
AI summary
An image processing apparatus that displays, on a display, a biological feature region arrangement developed image in which at least one of a plurality of annotation images respectively indicating a plurality of biological feature regions is superimposed on a dentition developed image such that the annotation images are located at corresponding positions of the plurality of biological feature region corresponding positions. Detail observation images at the plurality of three-dimensional positions are respectively generated on the basis of the three-dimensional image data, a focus order of the plurality of biological feature regions is determined according to a predetermined rule, and when the biological feature region arrangement developed image is displayed, it is indicated that the biological feature regions are subjected to focusing in the focus order by a change in the annotation images and the detail observation images corresponding to focusing of the biological feature regions are displayed on the display.