Dentition CT Annotation Layout for Complete Biological Feature Recognition
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Solution Overview
Problem
Existing technologies require significant time and effort to identify multiple biological feature regions in CT scan images, often leading to omissions, especially when multiple regions of interest are present.
Innovation Solution
An image processing apparatus and method that generates three-dimensional image data of dentition constituent tissue, detects and identifies multiple biological feature regions, and displays them with superimposed annotation images in a predetermined focus order, facilitating easy recognition without omission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple biological feature regions are displayed on a CT scan image, then comprehensive detection is achieved, but the time and effort required to search and recognize all regions increases significantly
Solution Approach 1:
The patent segments the CT scan image into a three-dimensional image data representation and separately displays biological feature regions using annotation images. This segmentation allows the system to process and display multiple regions independently, reducing the time required to search through the entire image while maintaining detection completeness.
Solution Approach 2:
The patent transitions from a two-dimensional CT scan image to a three-dimensional image data representation. This dimensional change enables the system to encode spatial information more efficiently and display multiple biological feature regions in a compressed three-dimensional space, reducing the search time required to identify all regions.
2Reliability
If multiple biological feature regions are displayed simultaneously, then comprehensive recognition is achieved, but the complexity of the display and operation increases
Solution Approach 1:
The patent extracts and separates biological feature regions from the main CT scan image by using annotation images. This extraction allows the system to display only the relevant regions of interest, reducing the visual complexity and making it easier for users to recognize and differentiate between multiple biological feature regions.
Solution Approach 2:
The patent uses annotation images with distinct visual characteristics (such as color coding or highlighting) to represent different biological feature regions. This visual differentiation reduces display complexity by providing clear, intuitive cues that help users quickly identify and distinguish between multiple regions without requiring complex interfaces.
3Measurement precision
If detailed observation of each biological feature region is performed, then diagnostic accuracy is improved, but the time required for comprehensive examination increases
Solution Approach 1:
The patent performs preliminary processing by automatically detecting and segmenting biological feature regions before the user begins examination. The system pre-processes the CT scan data to identify and separate regions of interest, so that when the user views the annotation images, the information is already organized and ready for quick review, reducing the time required for comprehensive examination while maintaining diagnostic accuracy.
Data Source
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AI summary
An image processing apparatus displays, on a display 22, a biological feature region arrangement developed image Eq in which at least one of a plurality of annotation images Q respectively indicating a plurality of biological feature regions is superimposed on a dentition developed image Ep 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.