Abstract #4003
Isotropic 3D MR Cholangiopancreatography (MRCP) imaging in breath-hold using SPARSE-SENSE acceleration
Hersh Chandarana 1,2 , Annie Wang 1 , Akio Yoshimoto 1 , Alampady Shanbhogue 1 , Mary Bruno 1 , Tiejun Zhao 3 , Esther Raithel 4 , and Ricardo Otazo 1,2
1
Radiology, Center for Biomedical Imaging,
NYU School of Medicine, New York, NY, United States,
2
Radiology,
Center for Advanced Imaging Innovation and Research
(CAI2R), NYU School of Medicine, New York, NY, United
States,
3
Siemens
Medical Solutions, New York, NY, United States,
4
Siemens
AG, Healthcare, Erlangen, Germany
This work proposes a novel approach for performing
breath-held 3D isotropic magnetic resonance
cholangiopancreatography (MRCP) imaging by using a joint
compressed sensing and parallel imaging approach
(SPARSE-SENSE) that exploits the inherent sparsity in
the MRCP dataset to reconstruct highly undersampled
data. Using a prototype 3D-SPACE sequence, only 5% of
k-space was sampled in a 20-second breath-hold using a
2D variable-density random undersampling pattern, and
reconstructed with an iterative algorithm that enforces
joint sparsity among all coils (BH-SPARSE-SPACE).
BH-SPARSE-SPACE was approximately 15 times faster than
respiratory-triggered 3D T2-weighted acquisition
(acquisition time of approximately 5 min) without loss
in image quality.
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