Abstract #2610

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

Helge Jörn Zöllner^1,2, Tao Gong^3,4, Steve C. N. Hui^1,2, Yulu Song^1,2, Weibo Chen⁵, Guangbin Wang^3,4, Georg Oeltzschner^1,2, and Richard A. E. Edden^1,2

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

Synopsis

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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