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Abstract #4469

Motion-informed free-breathing myocardial 3D T1rho mapping at 0.6T

Vincent Vousten1, Valery Vishnevskiy1, Maximilian Fuetterer1, Jouke Smink2, Ece Ercan2, and Sebastian Kozerke1
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 2Philips Healthcare, Best, Netherlands

Synopsis

Keywords: Relaxometry, Image Reconstruction, T1rho, motion compensation

Motivation: Myocardial T1rho mapping has shown promising results for myocardial injury characterization, but suffers from B1/B0-inhomogeneities. Reduced static field strengths offer improved homogeneity and accessibility, at the cost of SNR.

Goal(s): To show the feasibility of free-breathing 3D T1rho mapping with motion-informed reconstruction at reduced field strengths.

Approach: Free-breathing 3D T1rho imaging was performed on volunteers with a magnetization-prepared bSSFP sequence on a 0.6T scanner. Reconstruction was performed using motion-informed higher-order singular value decomposition reconstruction (MI-HOSVD), non-motion-compensated HOSVD and navigator-gated HOSVD.

Results: High-quality T1rho maps were reconstructed using MI-HOSVD with improved image quality and reduced fitting errors when compared to the other reconstruction methods.

Impact: MI-HOSVD reconstruction efficiently and effectively uses data from all breathing states, thereby improving free-breathing 3D T1rho mapping at 0.6T.

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Keywords