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Abstract #4569

An Auto-Calibrated K-T Approach for Fast 3D Dynamic Contrast-Enhanced Abdominal Imaging

Peng Lai1, Anja C. Brau1, Philip J. Beatty1, Shreyas Vasanawala2, Manojkumar Saranathan3

1Applied Science Laboratory, GE Healthcare, Menlo Park, CA, USA; 2Department of Radiology, Stanford University, Stanford, CA, USA; 3Applied Science Laboratory, GE Healthcare, Rochester, MN, USA

This study proposed a new fast imaging approach, kats ARC (Autocalibrating Reconstruction for Cartesian Sampling with k- & adaptive-t-space data synthesis) for accelerating 3D dynamic contrast-enhanced MRI. The proposed method utilizes a new undersampling pattern compatible with 2D acceleration and exploits contrast kinetics information in autocalibration signals to adaptively determine the temporal interpolation window. Its effectiveness was investigated in comparison with conventional fast imaging methods based on simulation and validated in a patient study. Both simulation and in-vivo studies showed that kats ARC could improve overall image quality and temporal fidelity than conventional methods. This work demonstrates that kats ARC is a promising technique for highly-accelerated 3D DCE abdominal imaging.