Abstract #4247
A water relaxometry atlas for tissue correction of MRS data
Yulu Song1,2, Helge J. Zöllner1,2, Christopher W. Davies-Jenkins1,2, Kathleen E. Hupfeld1,2, Aaron Gudmundson1,2, Emlyn Muska3, Tilak Ratnanather2,4, Steve C.N. Hui5,6,7, Emily E. Carter8, Georg Oeltzschner1,2, Douglas C. Dean III9,10,11, Can Ceritoglu12, Eric Porges3, and Richard A.E. Edden1,2
1The Russell H. Morgan Department of Radiology and Radiological Science, 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, 3Center for Cognitive Aging and Memory (CAM), McKnight Brain Institute, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States, 4Center for Imaging Science and Institute for Computational Medicine, Dept of Biomedical Engineering, JHU, Baltimore, MD, United States, 5Developing Brain Institute, Children’s National Hospital, Washington, DC, United States, 6Departments of Radiology, The George Washington University School of Medicine and Health Sciences, Washington, DC, United States, 7Departments of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC, United States, 8University of Florida, Center for Cognitive Aging and Memory (CAM), College of Public Health and Health Professions, Clinical Heath and Psychology, Gainesville, FL, United States, 9Waisman Center, University of WI-Madison, Madison, WI, United States, 10Department of Pediatrics, Division of Neonatology and Newborn Nursey, University of WI-Madison, School of Medicine and Public Health, Madison, WI, United States, 11Department of Medical Physics, University of WI-Madison, School of Medicine and Public Health, Madison, WI, United States, 12The Center for Imaging Science, the Johns Hopkins University, Baltimore, MD, United States
Synopsis
Keywords: Quantitative Imaging, Relaxometry, quantitative, MRS, T1T2 maps
Motivation: Water-referenced metabolite quantification in MRS often relies upon fixed water-relaxation reference times, ignoring differences in relaxation across the brain and lifespan.
Goal(s): To develop a water relaxometry atlas to integrate location- and age-appropriate relaxation values into the MRS analysis workflow.
Approach: DESPOT was used to collected quantitative T1 and T2 images in a cohort of 52 subjects aged 20-70 years old, and morphed to standard-space to generate a relaxometry aging atlas. We also perform a parcel-wise assessment of age-related relaxation changes.
Results: The high-resolution water relaxometry aging atlas indicates significant changes in water relaxometry across the lifespan in many brain regions.
Impact: Access to whole-brain relaxometry reference values, with appropriate consideration of aging, is vital to accurate water-referenced metabolite quantification in MRS.
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