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Abstract #1174

Single ProjectIon DrivEn Real-time (SPIDER) Multi-contrast MR Imaging Using Pre-learned Spatial Subspace

Pei Han1,2, Junzhou Chen1,2, Fei Han3, Zhehao Hu1,2, Debiao Li1,2, Anthony G. Christodoulou1,2, and Zhaoyang Fan1,4
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, UCLA, Los Angeles, CA, United States, 3Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 4Departments of Radiology and Radiation Oncology, University of Southern California, Los Angeles, CA, United States

We propose SPIDER, a new technique for real-time multi-contrast 3D imaging. A “Prep” scan is first performed to learn the static information; a “Live” scan is then performed to acquire only single k-space projection for dynamic information. With the information learned in the “Prep” scan, 3D multi-contrast images can be generated with simple matrix multiplication, which yields a latency of 50ms or less.

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