title: Peak-specific phase correction for automated spectrum processing ofin vivomagnetic resonance spectroscopic imaging by using the multiscale approach.
abstract: Automatic metabolite quantification with curve fitting is essential in analyzing large amount ofin vivomagnetic resonance spectroscopic imaging (MRSI) data. However, such data analysis is usually hindered by distorted metabolite peaks and baselines normally seen inin vivoMRS. In the present study, a multiscale approach was utilized for peak-specific automatic 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 automatic analysis of multi-slicein vivoMRSI data in human brain.
authors.affiliation: Yerkes Imaging Center and Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA.
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Biomedical Imaging Technique Center, The Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA.
authors.forename: Xiaoping
authors.initials: X
authors.lastname: Hu
keywords: MRSI; automatic phase correction; chemical shift imaging (CSI); in vivo MR spectroscopy; multiscale analysis; spectral curve fitting