Panoramic Radiograph Diagnosis Support System
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Solution Overview
Problem
Panoramic radiographs in odontotherapy often suffer from inappropriate radiographic imaging conditions, leading to skewed or deformed images, which can result in inaccurate diagnosis of diseases like odontogenic maxillary sinusitis, especially when taken by non-specialists, and existing techniques lack quantitative assessment of density differences.
Innovation Solution
A diagnosis support system that analyzes panoramic radiographs to assess imaging conditions by comparing extracted edge data with a contour model database, determining the appropriateness of imaging position and image quality, and providing disease risk information based on provider information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If panoramic radiographs are taken by non-specialists or under inappropriate radiographic imaging conditions, then the imaging process becomes more accessible and faster, but the images become skewed or deformed leading to inaccurate diagnosis
Solution Approach 1:
The system automatically evaluates the quality of panoramic radiographs by comparing extracted edge data against stored contour models and provides feedback on imaging appropriateness. This feedback mechanism enables continuous improvement of imaging quality without requiring specialized operators, resolving the contradiction between ease of operation and imaging precision.
Solution Approach 2:
The patent replaces manual assessment of imaging quality by specialists with an automated computer-based evaluation system. The system uses digital image processing and pattern recognition to objectively assess radiograph quality, substituting mechanical/judgment-based evaluation with automated computational methods.
2Device complexity
If existing techniques are used for diagnosing maxillary sinusitis, then the diagnostic process remains simple, but quantitative assessment of density differences cannot be provided
Solution Approach 1:
The system transforms qualitative visual assessment into quantitative parameter measurement by calculating density differences between maxillary sinus regions. The system extracts numerical data from radiographic images and provides objective measurements of density variations, enabling precise quantitative assessment while maintaining diagnostic simplicity.
3Productivity
If panoramic radiographs are taken without strict radiographic imaging conditions, then the imaging process becomes faster and more efficient, but image quality deteriorates with skewed or deformed images
Solution Approach 1:
The system performs preliminary evaluation of radiographic images by automatically extracting edge data and comparing it with stored contour models before final diagnosis. This preliminary quality check ensures reliable images are identified and processed, maintaining image quality reliability while allowing faster imaging procedures.
Data Source
AI summary
A diagnosis support system includes a diagnosis support computer that includes a model data acquisition unit configured to obtain a plurality of mandible model data, a contour model creation unit configured to create contour model data from the mandible model data, a contour database storage unit configured to construct a contour model database from the contour model data, a diagnosis image data receiving unit configured to receive an input of diagnosis image data of an examinee, an edge extraction unit configured to extract edge data from the diagnosis image data, a similar model searching unit configured to search contour model data based on the edge data, a position judgment unit and an image quality judgment unit configured to judge an imaging position and an image quality based on imaging information, respectively, and a diagnosis support information provision unit configured to provide diagnosis support information based on provider information.