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Abstract #2727

Feasibility of Direct Virtual Coil (DVC) Reconstruction for 3-D Imaging

Philip James Beatty1, Joseph Y. Cheng2, Ajit Shankaranarayanan1, Ananth Madhuranthakam3, Huanzhou Yu1, Ersin Bayram4, Shaorong Chang4, Jean H. Brittain5

1Applied Science Laboratory, GE Healthcare, Menlo Park, CA, USA; 2Electrical Engineering, Stanford University, Stanford, CA, USA; 3Applied Science Laboratory, GE Healthcare, Boston, MA, USA; 4GE Healthcare, Waukesha, WI, USA; 5Applied Science Laboratory, GE Healthcare, Madison, WI, USA

The Direct Virtual Coil (DVC) reconstruction method improves the computational efficiency of data-driven parallel imaging reconstruction, while maintaining good image quality, by forgoing the computationally expensive coil-by-coil approach in favor of directly synthesizing virtual coil data. For this work, the DVC method is implemented to support 3-D data sets with 2-D acceleration. Results indicate that image quality comparable to coil-by-coil reconstructions can be obtained for 3-D imaging.