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This is a Quantitative Study study.

September 17, 2025

Outer-Volume Suppressed Accelerated CMR via Static Tissue Subtraction

Key Points

Achieving up to 9.39 dB SNR enhancement, this method effectively addresses static tissue in CMR imaging.
We isolated and subtracted static tissue signals from k-space measurements, allowing efficient reconstruction.
This post-processing technique was applied in breath-held CMR with a focus on improving acquisition efficiency.
The method supports higher acceleration rates in CMR with a static FOV, enhancing imaging dynamics.

Abstract

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.

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