Motivation: CMR cine and perfusion imaging have redundant static regions, requiring a large FOV to prevent aliasing onto the heart, reducing efficiency. Goal(s): Create a post-processing method to reduce static tissue effects, enabling faster CMR imaging with standard reconstruction techniques and no outer volume suppression pulses. Approach: For breath-held CMR, we isolate the static tissue signal from averaged or separate data and subtract it from each k-space measurement. This allows for an enhanced per-frame reconstruction. Results: Achieved up to 9.39 dB SNR improvement in cine images and removed static tissue overlapping in SMILE perfusion (multiband factor = 6) without suppression pulses. Impact: This technique can be applied to other dynamic CMR applications with a largely static FOV region. It eliminates the need for outer volume suppression, enhancing acquisition efficiency with a reduced FOV and supporting higher acceleration rates in reconstruction.
Zhao et al. (Tue,) studied this question.
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