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.