Abstract #3956

A Subspace-Based Approach to High-Resolution 31P-MRSI

Chao Ma¹, Fan Lam¹, Qiang Ning^1,2, Bryan A. Clifford^1,2, Ryan Larsen¹, and Zhi-Pei Liang^1,2

¹Beckman Institute, University of Illinois Urbana-Champaign, Urbana, IL, United States, ²Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States

Conventional Fourier based phosphorus (31P)-MRSI methods have been limited by spatial resolution due to the low concentrations of phosphate-contained chemical compounds in the human body and the relatively low sensitivity of 31P NMR. This work presents a subspace-based data acquisition and reconstruction method to achieve accelerated, high-resolution 31P-MRSI. The feasibility of the proposed method is demonstrated using both phantom and in vivo experimental studies on a 3T scanner, which have yielded very promising results. The proposed method can be used in a range of 31P-MRSI applications.

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