Abstract #4467
Water Relaxation Atlas for Age- and Region-Specific Metabolite Correction in the Osprey MRS Analysis Workflow
Gizeaddis L. Simegn1,2, Yulu Song1,2, Saipavitra Murali-Manohar1,2, Helge J. Zöllner1,2, Christopher W. Davies-Jenkins1,2, Kathleen E. Hupfeld1,2, Dunja Simicic1,2, Aaron T. Gudmundson1,2, Emlyn Muska3, Steve C.N. Hui4,5, Emily Carter3, Georg Oeltzschner1,2, Douglas C. Dean III6,7,8, Can Ceritoglu9, Tilak Ratnanather2,9, Eric Porges3, and Richard 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, McKnight Brain Institute, University of Florida, Gainesville, FL, United States, 4Developing Brain Institute, Children’s National Hospital, Washington, DC, United States, 5Departments of Radiology and Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC, United States, 6Waisman Center, University of WI-Madison, Madison, WI, United States, 7Department of Pediatrics, Division of Neonatology and Newborn Nursery, University of WI-Madison, School of Medicine and Public Health, Madison, WI, United States, 8Department of Medical Physics, University of WI-Madison, School of Medicine and Public Health, Madison, WI, United States, 9Center for Imaging Science and Institute for Computational Medicine, Dept of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
Synopsis
Keywords: Relaxometry, Quantitative Imaging
Motivation: Current MRS water-referenced metabolite quantification uses fixed literature relaxation values, despite known age and regional variability. This causes inaccuracies, especially in aging studies, highlighting the need for age- and region-specific T1 and T2 values for accurate quantification.
Goal(s): To develop a water relaxometry atlas with region- and age-specific T1 and T2 values integrated into the Osprey analysis workflow for improved MRS quantification.
Approach: 101 participants were scanned to create the atlas, which was integrated into Osprey for age-and region-specific corrections.
Results: The atlas revealed significant T1 and T2 variations across age and brain regions and was successfully incorporated into Osprey for improved accuracy.
Impact: Integrating the age- and region-specific water relaxometry atlas into Osprey improves MRS metabolite quantification, particularly in aging studies, by reducing biases in water-referenced corrections.
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