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Abstract #3352

3D High Spatial Resolution Short TE Proton-Echo-Planar-Spectroscopic-Imaging (PEPSI) at 3T in Clinically Feasible Measurement Times

Ernesto Akio Yoshimoto Ninamango1, Chenguang Zhao2, Kaung-Ti Yung2, Weili Zheng2, Elena Ackley2, Stephen Dager3, John vanMeter4, Ulrike Dydak5,6, Keith Heberlein7, Shang-Yueh Tsai8, Fa-Hsuan Lin9,10, Lawrence Wald11, Andre Van Der Kouwe11, Juan Bustilo12, Stefan Posse1,3

1Electrical Engineering, University of New Mexico, Albuquerque, NM, United States; 2Department of Neurology, University of New Mexico, Albuquerque, NM, United States; 3Department of Radiology, University of Washington, Seattle, WA, United States; 4Department of Neurology, Georgetown University, Washington, DC, United States; 5Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States; 6School of Health Sciences, Purdue University, West Lafayette, IN, United States; 7Siemens Medical Solutions, Siemens, Erlangen, Germany; 8Department of Electrical Engineering, Chang Gung University, Tau Yuan, Taiwan; 9Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan; 10A. A. Martinos Center, Massachusetts General Hospital, MA, United States; 11MGH-HMS-MIT Athinoula A. Martinos Center for Biomedical Imaging; 12Department of Psychiatry, University of New Mexico, Albuquerque, NM, United States; 13Electrical and Computer Engineering Department, University of New Mexico

This multicenter MRSI study presents the results of 3D metabolite mapping in the brain of healthy subjects at high-spatial resolution (voxels as small as 0.14 cc) and measurement times of less than 11 min. Data were acquired with short-TE PEPSI on 3T scanners equipped with large-scale head array coils (8 to 32 channels). The resolution of this method provides consistent spectral quality with narrow spectral width throughout the VOI and enables delineation of anatomical brain structures in metabolite maps. The short measurement times (as short as 7 min for 64x64x8 spatial matrix) makes this method attractive for clinical research studies.