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Abstract #2610

Linear-combination modeling of short-TE PRESS data using parameterized and experimentally derived macromolecule basis functions

Helge Jörn Zöllner1,2, Tao Gong3,4, Steve C. N. Hui1,2, Yulu Song1,2, Weibo Chen5, Guangbin Wang3,4, Georg Oeltzschner1,2, and Richard A. E. Edden1,2
1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Departments of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China, 4Departments of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Jinan, Shandong, China, 5Philips Healthcare, Shanghai, China


Recent expert consensus emphasizes the use of measured MM spectra for reliable linear-combination modeling (LCM) of short-TE MRS data. Here we compare the metabolite estimates from short-TE PRESS data modeled with a parameterized and measured MM basis functions in a large dataset.

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