Medical Scan Correction via Real-Time Sensor Feedback
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Solution Overview
Problem
Medical scans, particularly CT images, often contain errors in segmentation due to processing or scanning artifacts, leading to incorrect tissue classification, which can result in poor diagnosis and potential damage during medical procedures.
Innovation Solution
A medical scan correction system that includes a medical instrument with an image sensor and position sensor, allowing real-time updates of tissue-type indications based on captured images and segmented scans, enabling correction of initial tissue-type classifications and proportional updates of radiodensity levels, with user input and automated comparison features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated segmentation is used to classify tissues in CT images, then processing speed and efficiency are improved, but segmentation accuracy and reliability deteriorate due to artifacts and errors
Solution Approach 1:
The system implements feedback by comparing the segmented medical scan with a real-time image captured by an image sensor on the medical instrument. The controller automatically compares the appearance of tissue in the captured image with the initial tissue-type indication from the segmented scan, and updates the segmentation based on this feedback loop, thereby correcting errors while maintaining efficiency
Solution Approach 2:
The system performs self-correction by automatically detecting segmentation errors through image comparison and updating the tissue classification without requiring manual intervention. The controller autonomously identifies discrepancies between the segmented scan and actual tissue appearance, and corrects the segmentation itself
2Reliability
If manual correction of segmentation errors is implemented, then segmentation accuracy is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system eliminates the need for manual correction by implementing automatic error detection and correction. The controller autonomously compares the segmented scan with real-time images from the image sensor and updates the tissue classification automatically, saving time while maintaining high accuracy
Solution Approach 2:
The automatic feedback mechanism continuously monitors segmentation accuracy by comparing with real-time images and immediately corrects errors, eliminating the time-consuming manual review process while ensuring high segmentation accuracy
3Productivity
If automated tissue classification is used, then processing efficiency is improved, but diagnostic accuracy and safety deteriorate due to classification errors
Solution Approach 1:
The system uses feedback from real-time images captured by the image sensor to verify and correct tissue classifications. The controller compares the appearance of tissue in captured images with initial classifications from the segmented scan, ensuring diagnostic accuracy while maintaining processing efficiency
Solution Approach 2:
The system performs self-verification by automatically detecting classification errors through image comparison and correcting them without manual intervention, thereby maintaining both high efficiency and diagnostic accuracy
Data Source
AI summary
In one embodiment a medical scan correction system includes a medical instrument having a distal end and an image sensor disposed at the distal end, and configured to be inserted into a body-part of a living subject, and a controller to register a medical scan of the body-part with a coordinate frame of the medical instrument, the medical scan including initial tissue-type indications, render a first image including a representation of the body-part and the initial tissue-type indications based on the medical scan, and a representation of the medical instrument, render a second image captured by the image sensor of a portion of the body-part, and responsively to a comparison between an appearance of a tissue in the second image of the portion of the body-part and an initial tissue-type indication of the tissue, update the medical scan to modify the tissue-type indication associated with the tissue.