Abstract #1174

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

Pei Han^1,2, Junzhou Chen^1,2, Fei Han³, Zhehao Hu^1,2, Debiao Li^1,2, Anthony G. Christodoulou^1,2, and Zhaoyang Fan^1,4

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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