Chinese Journal of Magnetic Resonance

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Peak-Specific Phase Correction for Automated Spectrum Processing of In Vivo Magnetic Resonance Spectroscopic Imaging Using a Multiscale Approach

ZHANG Xiao-dong1*,HU Xiao-ping2   

  1. 1. Yerkes Imaging Center and Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta GA 30329, USA;
    2. Biomedical Imaging Technique Center, The Wallace H.Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta GA 30322, USA
  • Received:2013-10-08 Revised:2013-11-18 Online:2014-03-05 Published:2014-03-05
  • About author:ZHANG Xiao-dong, PhD., his researches focus on the development and application of magnetic resonanceimaging (MRI) and magnetic resonance spectroscopy (MRS) techniques in neuroscience. Fax: +01-404-712-9917, Tel: +01-404-712-9874, E-mail: xzhang8@emory.edu. *Corresponding author.
  • Supported by:

    the National Center for Research Resources (P51RR000165) of NIH and the Office of Research Infrastructure Programs (OD P51OD011132).

Abstract:

Automated metabolite quantification with curve fitting is essential for analyzing large amount of in vivo magnetic resonance spectroscopic imaging (MRSI) data. However, such analysis is often hindered by distorted peak lineshapes and baselines normally seen in in vivo MRSI experiments. In the present study, a multiscale approach was utilized for peak-specific automated phase correction in multi-slice MRSI data of human brain. The results suggest that this
novel approach can improve the robustness and efficiency of metabolite quantification and facilitate automated analysis of multi-slice in vivo MRSI data of human brain.

Key words: in vivo, magnetic resonance spectroscopic imaging (MRSI), multiscale analysis, spectral curve fitting, automatic phase correction

CLC Number: