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Abstract #4758

Sliding Window Reduced FOV Reconstruction in EPI for Real-Time Cardiac Imaging

Patrick Metze1, Tobias Speidel2, Kilian Stumpf1, and Volker Rasche1,2

1Department of Internal Medicine II, University Ulm Medical Center, Ulm, Germany, 2Core Facility Small Animal Imaging (CF-SANI), Ulm University, Ulm, Germany

In this work we present a reconstruction technique based on $$$k$$$-space subtraction of static image parts to acquire real-time cardiac images. The static part is estimated with a sliding window reconstruction of the region outside of the heart to account for respiratory motion. The reduced field of view, i.e. the region of interest, is then reconstructed using a standard SENSE reconstruction, resulting in a temporal resolution of under 40 ms. The image quality is sufficient to estimate functional values in accordance with the BH-CINE reference standard.

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