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Abstract #4901

3D myocardial t1 mapping using a 2D fat image navigator for respiratory motion correction

Giovanna Nordio1, Torben Schneider2, Gastao Cruz1, Teresa Correia1, Claudia Prieto1, Rene Botnar1, and Markus Henningsson1

1School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom, 2Philips Healthcare, London, United Kingdom

In this study, we propose a 3D whole-heart saturation-recovery T1-mapping technique combined with a 2D fat image navigator (fat-iNAV) for respiratory motion compensation. Respiratory motion of the heart is estimated from the 2D fat-iNAVs and used to correct the T1-weighted images prior to the fitting. The delineation of the myocardium is considerably improved after motion correction, while gating permits to further improve image quality and precision (p<0.05) of the T1 maps. Future work will focus on validating the proposed technique on patients with cardiovascular disease.

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