Medical Imaging Motion Correction for Cardiac Motion Artifacts
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Solution Overview
Problem
Medical imaging is often compromised by motion artifacts due to physiological movements of the subject, particularly cardiac motion, which degrades image quality and requires complex, time-consuming correction processes.
Innovation Solution
A system and method utilizing a motion correction model, trained on multiple image sequences, to directly correct artifacts by ranking and inputting reconstructed image sequences, reducing complexity and improving efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional correction algorithms are used to address motion artifacts, then image quality is improved, but the correction process becomes complex and time-consuming
Solution Approach 1:
The system performs preliminary ranking of image sequences based on temporal information before correction. By pre-organizing the sequences in chronological or physiological order (e.g., cardiac cycle phases), the system prepares the data in an optimal state for subsequent correction operations, reducing the complexity of the actual correction process while maintaining high image quality
Solution Approach 2:
The correction process is divided into distinct segments: first ranking the image sequences based on temporal characteristics, then applying correction algorithms to the ranked sequences. This segmentation allows each step to be optimized independently, reducing overall process complexity while achieving high manufacturing precision in the final corrected images
2Manufacturing precision
If traditional correction algorithms are used to address motion artifacts, then image quality is improved, but the correction time increases
Solution Approach 1:
By preliminarily ranking image sequences based on temporal information before correction, the system optimizes the input data structure for the correction algorithm. This preliminary organization reduces the computational burden during the actual correction phase, thereby reducing correction time while maintaining the quality improvement benefit
Solution Approach 2:
The system maintains continuous temporal information throughout the correction process by preserving the chronological or physiological ordering of image sequences. This continuity allows the correction algorithm to efficiently process sequences in their natural temporal progression, reducing unnecessary computational steps and minimizing correction time while ensuring high image quality
3Device complexity
If motion correction is performed without considering temporal information, then processing is simpler, but correction accuracy decreases
Solution Approach 1:
The system performs preliminary ranking of image sequences based on temporal information (chronological or physiological timing) before applying correction algorithms. This preliminary action incorporates temporal context into the processing workflow, significantly improving correction accuracy by ensuring that sequences are corrected in their proper temporal sequence, while adding only minimal processing complexity
Solution Approach 2:
The system uses temporal information as feedback to guide the correction process. By ranking sequences based on their temporal characteristics and using this ranking to determine processing order, the system creates a feedback loop that continuously optimizes correction accuracy based on temporal context, achieving high measurement precision without excessive processing complexity
Data Source
AI summary
Systems and methods for motion correction in medical imaging are provided in the present disclosure. The systems may obtain at least two image sequences relating to a subject. Each of the at least two image sequences may be reconstructed based on image data that is acquired by a medical imaging device during one of at least two time periods. The subject may undergo a physiological motion during the at least two time periods. The systems may generate, based on the at least two image sequences, at least one corrected image sequence relating to the subject by correcting, using a motion correction model, an artifact caused by the physiological motion.