Cardiac Deformation Imaging With Overlapping Boundary Segments
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Solution Overview
Problem
Deformation imaging systems using a fixed number of non-overlapping segments inaccurately determine mechanical dispersion and cardiac mechanical dyssynchrony due to geometrical division of cardiac muscle, which does not accurately represent underlying segment boundaries.
Innovation Solution
Utilize a system that delineates the boundary of an anatomical heart feature and divides it into a plurality of overlapping segments to enhance the determination of cardiac deformation, improving precision and reliability of mechanical dispersion and dyssynchrony assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed number of non-overlapping segments is used to divide the anatomical feature, then the segmentation process is simple and efficient, but the determination of mechanical dispersion and cardiac mechanical dyssynchrony becomes inaccurate
Solution Approach 1:
The patent applies segmentation by dividing the anatomical feature into multiple segments along its boundary. However, it transitions from non-overlapping to overlapping segments, where each segment shares boundary regions with adjacent segments. This overlapping segmentation allows for more accurate determination of mechanical dispersion and cardiac mechanical dyssynchrony by better representing the continuous nature of cardiac muscle deformation, while maintaining computational efficiency through automated boundary detection and segment generation.
2Device complexity
If a fixed number of non-overlapping segments is used, then the device complexity is low, but the reliability of mechanical dispersion determination deteriorates
Solution Approach 1:
The patent implements dynamic segmentation by determining segment boundaries based on the actual deformation characteristics and imaging data rather than using fixed geometric divisions. The system adaptively adjusts the number, position, and overlap of segments based on the specific anatomical feature and deformation pattern being analyzed. This dynamic approach enhances the reliability of mechanical dispersion determination while managing complexity through automated algorithms that adapt to different cardiac structures and deformation modes.
Data Source
AI summary
Various systems and methods are provided for determining information related to cardiac deformation of an anatomical feature of a heart of a subject using deformation imaging and a plurality of overlapping segments that extend along a boundary of the anatomical feature of the heart of the subject. Imaging data of the anatomical feature of the heart of the subject may be received. A boundary of the anatomical feature of the heart of the subject may be delineated. The anatomical feature may be divided into a plurality of overlapping segments that extend along the boundary of the anatomical feature of the heart of the subject. Information related to cardiac deformation of the anatomical feature of the heart of the subject may be determined using deformation imaging and the plurality of overlapping segments. The information related to cardiac deformation of the anatomical feature of the heart may be displayed.