Abstract #0593

Phase Correction of MRSI Data Using Model-Based Signal Estimation and Extrapolation

Wen Jin^1,2, Rong Guo^1,3, Yudu Li^1,4,5, Yibo Zhao¹, Xin Li⁶, Xiao-Hong Zhu⁶, Wei Chen⁶, and Zhi-Pei Liang^1,2

¹Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ²Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ³Siemens Medical Solutions USA, Inc., St Louis, MO, United States, ⁴Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁵National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁶Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States

Synopsis

Keywords: Spectroscopy, Spectroscopy

Motivation: In many MRSI applications, it is desirable to generate absorption-mode spectra, which requires correction of phase errors.

Goal(s): We propose a novel model-based method for effective phase correction of MRSI data.

Approach: The proposed method determined the zeroth-order phase and acquisition dead time using a Lorentzian-based spectral model and performed signal extrapolation using a generalized series model. Absorption-mode spectra were then generated from the phase-corrected and extrapolated MRSI data.

Results: The proposed method was evaluated using both simulated data and experimental data acquired from human brains in multi-nuclei (³¹P, ²H, and ¹H) MRSI experiments, producing high-quality absorption-mode spectra.

Impact: We propose a novel method for effective phase correction of MRSI data. This method is expected to provide a useful tool for processing, quantifying, and analyzing MRSI data.

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