Aortic Valve Calcium Mapping for TAVR Planning
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Solution Overview
Problem
Conventional techniques lack a method to objectively evaluate the calcium distribution around the aortic valve, making it difficult to assess the ease or difficulty of implanting an artificial valve during transcatheter aortic valve replacement (TAVR) procedures, which is crucial for determining the correct placement position, size, and form of the valve.
Innovation Solution
A medical image processing apparatus that extracts and analyzes 3D image data from CT scans to divide the aortic valve into regions, calculate the calcium distribution, and generate a mapping image indicating the implantation difficulty level based on predetermined calcium thresholds, allowing for objective evaluation of the calcification and aiding in the planning of TAVR procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques are used to determine catheter and valve parameters, then the determination is based only on vessel diameter and aortic valve area, but it is impossible to objectively evaluate calcium distribution and implantation difficulty
Solution Approach 1:
The aortic valve image is divided into multiple regions (tip region, root region, and intermediate regions) to enable region-specific calcium distribution analysis. This segmentation allows precise evaluation of calcium in different anatomical locations, which is critical for determining implantation difficulty and optimal valve placement.
Solution Approach 2:
A medical image processing apparatus serves as an intermediary system that processes CT image data to generate calcium distribution maps and implantation difficulty evaluations. This intermediary system bridges the gap between raw imaging data and clinically actionable information without requiring direct complex measurements by clinicians.
2Loss of information
If detailed calcium distribution analysis is performed, then implantation difficulty can be objectively evaluated, but the complexity of image processing increases
Solution Approach 1:
The system extracts calcium distribution information from CT image data by identifying and isolating calcium deposits in specific regions of the aortic valve. This extraction process separates the relevant calcium information from the overall image data, enabling focused analysis without requiring complex processing of the entire image set.
Solution Approach 2:
Different regions of the aortic valve (tip, root, intermediate) are analyzed with region-specific criteria for calcium evaluation. The tip region and root region have different importance weights in determining implantation difficulty, allowing localized quality assessment rather than uniform analysis across the entire valve structure.
3Ease of operation
If only vessel diameter and aortic valve area are measured, then the assessment is simple, but it cannot provide information about calcium distribution and implantation ease or difficulty
Solution Approach 1:
The system adds a new dimension of analysis by creating a mapping image that visualizes calcium distribution across the aortic valve surface. This dimensional addition transforms the assessment from simple linear measurements (diameter, area) to a two-dimensional spatial distribution map, providing comprehensive information about calcium locations and densities.
Solution Approach 2:
The mapping image uses color coding to represent different levels of calcium distribution and implantation difficulty. Different colors indicate varying concentrations of calcium deposits, allowing clinicians to quickly assess risk areas and plan treatment based on visual cues rather than numerical data alone.
Data Source
AI summary
A method and apparatus is provided for medical image processing. The processing of the medical image extracting a living valve image by analyzing a 3D image of an anatomical organ of a subject, specifying a distribution of an amount of calcium in the living valve image from CT pixel values in the living valve image, and specifying a distribution of difficulty levels of implanting an artificial valve to the anatomical organ based on a comparison between the amount of calcium and a predetermined value.