Stent Detection in X-Ray Images Using Edge Analysis
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Solution Overview
Problem
It is challenging for physicians to visually identify stents in X-ray images due to tissue growth obscuring the device, making it difficult to locate previously deployed stents in coronary vessels.
Innovation Solution
An X-ray imaging system processes image data using luminance density and anatomical information to automatically detect and display the location of invasive anatomical devices, such as stents, by employing a model of anatomical vessels to select a region of interest and utilizing image edge detection to determine the outline of the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual review of X-ray images is used to identify stents, then the method is simple and direct, but the stent becomes obscured by tissue growth making identification difficult
Solution Approach 1:
The patent introduces an automated image processing system as an intermediary between the X-ray image and the physician's diagnosis. The system uses edge detection algorithms and luminance density analysis to automatically identify stent boundaries and locations, serving as a mediator that extracts stent information from obscured images without requiring direct visual interpretation by the physician.
Solution Approach 2:
The patent replaces the manual visual inspection mechanism with an automated computational imaging system. Instead of relying on the physician's visual capabilities to detect obscured stents, the system uses computer-based image processing techniques including edge detection and luminance analysis to automatically locate and identify stents in the X-ray images.
2Measurement precision
If automated image processing is used to detect stents, then stent location accuracy is improved, but system complexity increases
Solution Approach 1:
The patent divides the image processing task into distinct segments or modules: edge detection to identify boundaries, luminance density calculation to analyze intensity variations, and stent location determination to pinpoint positions. This segmentation allows each module to handle a specific aspect of the detection process, making the overall complex system more manageable and implementable through coordinated simple operations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively locates and displays the position of stents in acquired images, providing accurate stent presentation information for follow-up visits, enhancing the ability to monitor and manage coronary heart disease.
Implementation Method 1
automatically determines a location of the medical device in an acquired image by determining at least a portion of an outline of the medical device by detecting a luminance transition in the acquired image using an image edge detector
Data Source
AI summary
A system identifies a stent in an image using luminance density and anatomical information. An X-ray imaging system automatically detects and indicates location of an invasive anatomical device in an image. An interface acquires, data representing X-ray images of patient vessels and data identifying a particular vessel containing a medical device. An image data processor employs a model of anatomical vessels to select a region of interest in a vessel identified by the acquired data and automatically determines a location of the medical device in an acquired image by determining at least a portion of an outline of the medical device by detecting a luminance transition in the acquired image using an image edge detector. A display processor initiates generation of data depicting location of the medical device in the acquired image in response to determining the at least a portion of the outline of the medical device.