Cardiac Cine Reconstruction via Multi-Cycle Segmentation
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Solution Overview
Problem
Cardiac cine imaging faces challenges in acquiring high-quality dynamic images due to patient breath-holding difficulties and arrhythmias, which complicate data processing and image reconstruction.
Innovation Solution
The method involves obtaining first imaging data corresponding to multiple cardiac cycles, performing image reconstruction to generate cardiac cines, and using different data distributions for image reconstruction to satisfy integrity requirements, while also acquiring reference information for phase determination and performing respiratory motion compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a relatively large amount of data is acquired to generate high-quality dynamic cardiac images, then image quality is improved, but data acquisition time increases and patient breath-holding difficulty increases
Solution Approach 1:
The patent segments the acquired cardiac data into multiple cardiac cycles and further divides each cardiac cycle into different phases (e.g., diastole and systole). By segmenting the data in this manner, the system can selectively reconstruct images from specific phases across multiple cycles, achieving high-quality dynamic cardiac imaging without requiring excessively long total acquisition times. This segmentation allows efficient utilization of acquired data while maintaining image quality.
2Manufacturing precision
If data from multiple cardiac cycles is acquired to improve image quality, then image quality is improved, but data processing complexity increases due to patient arrhythmias and breath-holding difficulties
Solution Approach 1:
The patent employs feedback mechanisms where reference information (such as ECG signals or respiratory signals) is used to monitor and identify the phase of each cardiac cycle in real-time. This feedback allows the system to dynamically adjust the data selection and reconstruction process, automatically handling variations caused by patient arrhythmias or breath-holding patterns. The feedback-driven phase identification simplifies the processing complexity by providing a systematic approach to align and reconstruct images from multiple cardiac cycles.
3Stability of the object's composition
If data is acquired according to a single distribution pattern, then data consistency is maintained, but image reconstruction integrity is insufficient for high-quality cardiac cines
Solution Approach 1:
The patent applies local quality by using different data distribution patterns for different regions of k-space. Specifically, it employs a first data distribution for the central region of k-space and a second data distribution for the peripheral region. This local differentiation allows the central region (which contains low-frequency information important for overall image structure) to be sampled with one pattern while the peripheral region (containing high-frequency detail information) is sampled with another pattern, thereby achieving both data consistency and sufficient reconstruction integrity for high-quality cardiac cine images.
Data Source
AI summary
The present disclosure may provide imaging methods, systems and storage media. The imaging methods may include: obtaining first imaging data acquired by an imaging device, wherein the first imaging data includes data corresponding to a plurality of cardiac cycles; and performing image reconstruction on data corresponding to the plurality of cardiac cycles in the first imaging data to acquire one or more cardiac cines. Each cardiac cine of the one or more cardiac cines may include cardiac images of a plurality of phases in at least one cardiac cycle.