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Abstract #2373

Fast free-breathing cardiac function assessment with automated segmentation using motion-corrected 2D multi-slice SSFP

Bailiang CHEN 1,2 , Laurent Bonnemains 1,2 , Pauline FERRY 1,2 , Anne MENNI 1,2 , Marine BEAUMONT 1,3 , Jacques FEBLINGER 1,2 , and Freddy ODILLE 1,2

1 IADI, Universit de Lorraine, Nancy, Lorraine, France, 2 U947, Inserm, Nancy, Lorraine, France, 3 CIC-IT 801, Inserm, Nancy, Lorraine, France

Conventional cardiac function assessment is performed by cine MRI with whole heart coverage using a stack of ECG-gated 2D SSFP sequence. Generally, 12-14 slices need to be acquired in successive breath-holds, requiring 6-10min altogether. Quantitative function assessment can also be tedious due to the need of segmentation. Here, an optimized cardiac function exam is proposed using: i) a free-breathing, 2D multi-slice SSFP sequence with 3D GRICS motion correction (4-5min in total); ii) a semi-automatic segmentation technique based on geometrically constrained fuzzy c-means. Its efficacy and robustness is demonstrated in 5 Duchenne muscular dystrophy (DMD) patients with difficulty in breath holding.

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