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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