Stereo Image Coordinate Conversion for Medical Distance Measurement
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Solution Overview
Problem
Current medical image diagnosis systems face challenges in accurately measuring distances and volumes within stereoscopic images generated from volume data, as conventional methods do not effectively convert stereoscopic image coordinates to volume data coordinates, leading to inaccuracies in distance measurements and volume calculations.
Innovation Solution
An image processing system that includes an accepting unit for setting coordinates, an acquisition unit for converting stereoscopic image coordinates to volume data coordinates, and a measuring unit for executing distance measurements, allowing for precise distance and volume calculations based on the acquired volume data coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distance measurement is performed using stereoscopic image coordinates directly, then the measurement process is simple, but the measurement precision is poor due to lack of coordinate conversion
Solution Approach 1:
The patent introduces volume data coordinates as an intermediary representation layer between the stereoscopic image display and the actual anatomical structure. The coordinate conversion unit transforms stereoscopic image coordinates into volume data coordinates, which accurately represent the three-dimensional anatomical space. This intermediary coordinate system enables precise distance measurement while maintaining the simplicity of the measurement process by providing a direct mapping between displayed coordinates and actual anatomical distances.
2Measurement precision
If volume calculation is performed using stereoscopic image coordinates, then the calculation process is straightforward, but the volume accuracy is reduced due to projection distortion
Solution Approach 1:
The patent resolves the volume measurement accuracy issue by transitioning from two-dimensional stereoscopic image coordinates to three-dimensional volume data coordinates. The coordinate conversion unit performs dimensionality transformation by incorporating depth information from the volume data into the coordinate system. This three-dimensional coordinate representation eliminates projection distortion effects and enables accurate volume calculation of anatomical structures while maintaining computational efficiency through direct coordinate mapping.
3Reliability
If conventional image processing is used without coordinate conversion, then the processing speed is fast, but the measurement reliability is poor
Solution Approach 1:
The patent implements preliminary coordinate conversion during the image processing pipeline, transforming stereoscopic image coordinates into volume data coordinates before measurement calculations are performed. This preliminary action ensures that all subsequent distance and volume measurements are based on accurate three-dimensional coordinate representations. The coordinate conversion is performed efficiently using pre-established transformation matrices and lookup tables, maintaining high processing speed while significantly improving measurement reliability through accurate anatomical representation.
Data Source
AI summary
An image processing system is provided, including an accepting unit, an acquisition unit, a measuring unit, and an output unit. The accepting unit accepts the setting of two coordinates in a stereoscopic image of a subject displayed on a stereoscopic image display device. The acquisition unit acquires volume data coordinates that are coordinates corresponding to stereoscopic image coordinates indicating the accepted coordinates. The measuring unit executes a measuring process of measuring the distance between the two coordinates accepted by the accepting unit, based on the volume data coordinates acquired by the acquisition unit. The output unit outputs a result of measurement by the measuring unit.