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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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