Dental CT Image Annotation for Faster Lesion Localization
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Solution Overview
Problem
Existing technologies for recognizing biological feature regions in CT scan images are time-consuming and inefficient, requiring significant effort to locate the region of interest.
Innovation Solution
An image processing apparatus and method that generates three-dimensional image data of dentition constituent tissue, detects biological feature regions, and superimposes annotation images on a developed image to facilitate easy recognition, using machine learning models for segmentation and pattern matching to identify teeth and jawbone regions, and lesions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If CT scan images are displayed to show biological feature regions, then the region of interest can be visualized, but it takes time and effort to search for the CT scan image displaying the region of interest
Solution Approach 1:
The patent segments the complex 3D dental image data into multiple 2D developed images showing different anatomical structures (teeth, jawbone, soft tissue) in separate layers. Each layer can be independently viewed and annotated, allowing clinicians to quickly locate and analyze specific biological feature regions without searching through entire 3D datasets.
Solution Approach 2:
The patent transforms 3D volumetric CT data into 2D developed images that unfold the dental structures in a panoramic view. This dimensional transformation preserves spatial relationships while making it easier to visually locate and interpret biological feature regions without navigating through multiple 3D slices.
2Measurement precision
If detailed 3D image data is generated for accurate biological feature detection, then diagnostic precision is improved, but image processing complexity increases
Solution Approach 1:
The processing system segments different anatomical structures (teeth, jawbone, soft tissue) into separate image layers with distinct processing pipelines. This allows each structure to be analyzed with optimized algorithms appropriate to its characteristics, reducing overall system complexity while maintaining high detection precision for each biological feature type.
Solution Approach 2:
The patent introduces annotation images as intermediary elements that mark biological feature regions on the developed images. These annotations serve as a bridge between complex 3D image data and simple 2D visualization, enabling accurate feature detection while keeping the user interface and processing workflow manageable.
3Loss of information
If multiple images are displayed simultaneously for comprehensive observation, then diagnostic information completeness is improved, but display complexity increases
Solution Approach 1:
The display system segments comprehensive diagnostic information into multiple organized layers including developed images, annotation images, and detail observation images. Each layer presents specific types of information, allowing clinicians to access complete diagnostic data through a structured, manageable interface rather than a single complex display.
Solution Approach 2:
The patent implements a nested display structure where detail observation images can be positioned at annotation image locations on the developed images. This nesting allows multiple levels of information (overview, annotation, and detailed view) to be integrated in a hierarchical manner, providing comprehensive diagnostic information without overwhelming the display interface.
Data Source
AI summary
An image processing apparatus having a processor and a display that displays an observation image. The processor generates three-dimensional image data of the dentition constituent tissue, detects a biological feature region in the dentition constituent tissue, identifies a three-dimensional position, generates a dentition developed image in which the dentition constituent tissue is developed, identifies a biological feature region corresponding position corresponding to the three-dimensional position in the dentition developed image, displays, on a display, a biological feature region arrangement developed image in which an annotation image indicating the biological feature region is superimposed on the dentition developed image such that the annotation image is located at the biological feature region corresponding position, generates a detail observation image at the three-dimensional position on the basis of the three-dimensional image data, and displays the detail observation image simultaneously with the biological feature region arrangement developed image on the display.