Calibration Slate Imaging for Accurate 3D Wound Color Mapping
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Solution Overview
Problem
Current medical photo-documentation systems lack accurate color representation and depth depiction of wounds and skin conditions, leading to inconsistent and unverifiable visual records that can affect diagnosis and treatment.
Innovation Solution
A system and method using a calibration slate with a color chart and unique identifier to calibrate three-dimensional medical images, ensuring accurate color and contour representation by measuring and adjusting color values based on known standards, and constructing three-dimensional models from two-dimensional images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If typical photo-documentation is used to capture wounds, then the process is simple and quick, but the color accuracy and contour representation are inaccurate
Solution Approach 1:
A calibration slate is introduced as an intermediary object that includes a color chart with known color values. This slate is placed in the field of view during image capture, serving as a reference standard that enables the system to measure and correct color accuracy without requiring complex calibration equipment or procedures
Solution Approach 2:
The calibration slate is prepared in advance with a color chart containing known color values printed on it. This preliminary preparation allows the system to have ready-made reference standards that can be used immediately during wound documentation, eliminating the need for complex real-time calibration procedures
2Measurement precision
If typical photo-documentation is used to capture wounds, then the process is simple, but the depth and contour information is lost
Solution Approach 1:
The system transitions from two-dimensional flat image capture to three-dimensional depth mapping by placing a scale bar with known dimensions in the field of view. The scale bar provides reference measurements that enable the system to calculate depth information and reconstruct three-dimensional wound contours from multiple two-dimensional images
3Reliability
If camera software automatically manipulates colors, then the images look more appealing, but the color accuracy becomes unverifiable
Solution Approach 1:
The calibration slate with known color values provides a feedback mechanism that allows the system to verify whether camera software has altered colors. By comparing the captured colors of the calibration slate against the known reference values, the system can detect and correct any automatic color manipulation, ensuring color accuracy and reliability
4Measurement precision
If multiple calibration standards are used, then the measurement accuracy improves, but the device complexity and operation time increase
Solution Approach 1:
The calibration slate merges multiple calibration functions into a single integrated object. The color chart provides color accuracy reference, the scale bar provides depth and contour reference, and the unique identifier enables tracking. This consolidation eliminates the need for multiple separate calibration standards and procedures, reducing calibration time while maintaining high measurement precision
Data Source
AI summary
A system produces three-dimensional medical images that are calibrated using a calibration slate. A subject is photographed with a calibration slate shown in the image. The slate includes printed colors that can be compared against standard colors associated with the slate to color calibrate the image. Two-dimensional images of the subject may be used to construct a three-dimensional image that shows wounds or other skin conditions that are color calibrated.