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Abstract #2731

Improved Myocardial T1 mapping using a Novel Motion-Insensitive Reconstruction

Céline Smekens1, Radhouene Neji1,2, Reza Razavi1, René Botnar1, and Sébastien Roujol1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom

Myocardial T1 mapping sequences are commonly performed under breath-hold conditions. However, motion between T1-weighted images can be observed in ~50% of acquisitions. Image registration algorithms can be used for motion correction but are not available on all scanners, can occasionally fail and remain challenging using low contrast sequences such as saturation-based T1 mapping techniques. In this study we sought to develop and evaluate a novel motion-insensitive T1 mapping reconstruction approach which automatically discards misaligned/artefact T1-weighted images.

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