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Abstract #2558

Highly Accelerated SEMAC Metal Implant Imaging Using Joint Compressed Sensing and Parallel Imaging

Mathias Nittka1, Ricardo Otazo2, Leon D. Rybak2, Kai Tobias Block3, Christian Geppert4, Daniel K. Sodickson2, Michael P. Recht2

1Siemens AG, Erlangen, Germany; 2Department of Radiology, New York University School of Medicine, New York, United States; 3Department of Radiology, NYU Langone Medical Center, New York, United States; 4Siemens Medical Systems, New York, United States

A highly accelerated implementation of SEMAC for metal implant imaging is presented, which aims to achieve efficient metal artifact redcution at clinically tolerable scan times. An approach of joint compressed sensing and parallel imaging is used, kz-kz undersampling is based on a Poisson-disk pattern with fully sampled k-Space for autocalibration. Experiments on a cadaver knee with a joint replacement were carried out both with a 4-channel flex coil and a 15 channel TX/RX coil. First results show good metal artifact reduction without significant loss in image quality at a total acceleration factor of 6.9.