Coronary Image Motion Correction Using Steady-Phase Registration
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Solution Overview
Problem
Motion artifacts in medical images of coronary arteries due to the ceaseless beating of the heart and irregular heart rates pose a challenge for accurate disease diagnosis and treatment, as conventional correction methods are ineffective against irregular motions.
Innovation Solution
A method that involves obtaining multiple preliminary images of a subject's motion cycle, determining a target phase with steady motion, and generating a secondary image by correcting preliminary images using multi-scale registration based on motion vectors to minimize the effect of irregular motions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional correction methods are used, then the processing time is short, but the image quality remains poor due to ineffective correction of irregular motions
Solution Approach 1:
The patent segments the motion cycle into multiple phases and identifies a target phase with steady motion characteristics. By dividing the correction process into phase identification, motion trajectory analysis, and selective correction steps, the method achieves accurate correction of irregular motions while maintaining efficient processing through focused intervention on critical motion phases.
2Measurement precision
If multiple preliminary images are processed to identify target phase, then the motion artifact correction accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent extracts key feature elements (such as centerlines or skeletons) from the target region in each preliminary image to represent motion trajectories. By taking out only the essential motion characteristics rather than processing entire images, the method achieves accurate motion phase identification and correction while significantly reducing computational complexity.
3Manufacturing precision
If multi-scale registration is performed to correct images, then the image quality is improved, but the processing time increases
Solution Approach 1:
The patent applies multi-scale registration selectively to correct specific phases identified as having steady motion characteristics, rather than processing all phases uniformly. By performing partial correction only where needed (at the target phase and selected neighboring phases), the method achieves improved image quality while avoiding the excessive processing time that would result from comprehensive correction of all motion phases.
Data Source
AI summary
Systems and methods for correcting motion artifacts in images are provided. The methods may include obtaining multiple preliminary images of a subject. Each of the multiple preliminary images may correspond to one of multiple phases of at least one motion cycle of the subject. The methods may also include determining an image representation of a target region of the subject in each preliminary image. The methods may also include identifying a target phase of the subject among the multiple phases of the at least one motion cycle based on the image representation of the target region in each preliminary image. The target phase and one or more neighboring phases of the target phase may correspond to a target motion status of the target region. The method may further include generating a secondary image of the subject corresponding to the target phase based on the target phase of the subject.