Cardiac Coronary Artery Imaging Phase Determination
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Solution Overview
Problem
Current cardiac CT imaging technologies face challenges in determining the optimal imaging phase for coronary arteries due to varying motion patterns, leading to suboptimal image quality as global phase algorithms may not suit individual coronary arteries.
Innovation Solution
A method that acquires phase images of cardiac coronary arteries, extracts target coronary arteries, calculates image quality scores, and performs weighted calculations to determine the optimal imaging phase based on specific quality scores, incorporating techniques like image segmentation, interpolation, and morphological operations to enhance image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a global optimal phase algorithm is used for image reconstruction, then the overall imaging efficiency is improved, but the imaging quality of specific target coronary arteries deteriorates due to varying motion patterns
Solution Approach 1:
The patent segments the coronary artery system into multiple target coronary arteries and evaluates each artery's motion pattern independently. By extracting and analyzing motion characteristics of specific target arteries rather than treating the entire coronary system uniformly, the method enables customized phase selection for each artery, resolving the contradiction between global efficiency and local quality.
Solution Approach 2:
The patent implements local quality optimization by determining optimal imaging phases specifically for each target coronary artery based on its individual motion pattern. The system calculates quality scores for each artery at different phases and selects the phase that maximizes image quality for that specific artery, rather than applying a uniform global phase selection.
2Manufacturing precision
If multiple phase images are acquired and evaluated for each target coronary artery, then the imaging quality is improved, but the computational complexity and processing time increase
Solution Approach 1:
The patent performs preliminary action by extracting motion patterns of target coronary arteries from the acquired phase images before final phase determination. This preprocessing step organizes the data in a way that facilitates efficient quality score calculation and phase selection, reducing the computational burden of the subsequent evaluation process.
Solution Approach 2:
The system implements self-service by automatically extracting motion patterns, calculating quality scores, and determining optimal phases without requiring manual intervention. The automated workflow processes multiple phase images and target arteries systematically, reducing the perceived complexity for users while maintaining high imaging quality.
3Measurement precision
If image segmentation and processing operations are performed on each phase image, then the accuracy of target coronary artery extraction is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent applies segmentation by dividing the processing task into distinct stages: acquiring phase images, extracting motion patterns, calculating quality scores, and determining optimal phases. This segmentation allows each stage to be optimized independently, balancing accuracy requirements with processing efficiency.
Solution Approach 2:
The system utilizes parameter changes by adjusting image processing parameters such as threshold values and segmentation criteria based on the specific characteristics of each target coronary artery. This adaptive approach improves extraction accuracy for different arteries while avoiding unnecessary processing steps that would increase overall processing time.
Data Source
AI summary
The present disclosure relates to a method for determining a cardiac coronary artery imaging phase. The method includes acquiring a plurality of phase images of a cardiac coronary artery, extracting one or more target coronary arteries based on the plurality of phase images respectively to obtain a plurality of corresponding to-be-evaluated images, calculating image quality scores of the one or more target coronary arteries in each of the to-be-evaluated images, performing a weighted calculation according to the image quality score and weighted parameters of the one or more target coronary arteries to obtain a quality score of each of the to-be-evaluated images, and determining a required imaging phase of the cardiac coronary artery based on the quality scores of the plurality of to-be-evaluated images.