Arrhythmia commonly compromises the quality of standard cardiac MRI (CMR), and cine CMR of arrhythmias may be of interest for evaluating arrhythmia pathophysiology. The common method to perform MRI during arrhythmia is real-time imaging; however, temporal and spatial resolution is limited. In this work, a triggered method utilizing a newly implemented triggering system and a retrospectively gated method were evaluated. The triggering system was capable of both classifying the heartbeat type in real-time from an ECG signal and triggering the scanner to update the k-space sampling trajectory when a pre-chosen heartbeat type was encountered. On the other hand, the retrospectively gated method analyzes the ECG signal after imaging is completed and selects the appropriate k-space data to use in reconstruction. Numerical simulations incorporating different paces of heartbeats and respiration were performed to compare the efficiency of both methods. The triggered and the retrospectively gated methods were also evaluated in an animal experiment, and k-space sampling patterns of selected imaging data and reconstructed images are shown. The numerical simulations and the animal experiment suggested the higher time-efficiency of the triggered method compared with the retrospectively gated method. This work provided a platform where high temporal and spatial resolution CMR imaging could be performed, enabling studies of arrhythmic pathophysiology using MRI.
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Advanced ECG processing for cardiac MRI in arrhythmia