Abstract #0007
Submillimeter T1 Atlas for Subject-Specific Abnormality Detection at 7T
Gian Franco Piredda1,2,3, Samuele Caneschi1, Tom Hilbert1,4,5, Gabriele Bonanno1,6,7, Arun Joseph1,6,7, Karl Egger8, Jessica Peter9, Stefan Klöppel9, Elisabeth Jehli10,11, Matthias Grieder10, Johannes Slotboom12, David Seiffge13, Martina Goeldlin13, Robert Hoepner13, Tom Willems14, Serge Vulliemoz15, Margitta Seeck15, Punith B. Venkategowda16, Ricardo A. Corredor Jerez1,4,5, Bénédicte Maréchal1,4,5, Jean-Philippe Thiran4,5, Roland Weist6,12, Tobias Kober1,4,5, and Piotr Radojewski6,12
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland, 3CIBM-AIT, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 6Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 7Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 8Department of Neuroradiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 9University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland, 10Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland, 11Department of Neurosurgery, University Hospital of Zurich, Zurich, Switzerland, 12Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland, 13Department of Neurology, University Hospital of Bern, University of Bern, Bern, Switzerland, 14Institute of Psychology, University of Bern, Geneva, Switzerland, 15EEG & Epilepsy Unit, Department of Clinical Neurosciences, Geneva University Hospitals & Faculty of Medicine, Geneva, Switzerland, 16Siemens Healthcare Pvt. Ltd., Bangalore, India
Synopsis
Keywords: YIA, Tissue Characterization, Acquisition & Analysis, Quantitative Imaging, Ultra-high field MRIDatabases of normative values from healthy tissues are needed to leverage the improved comparability and hardware independence of quantitative MRI, and thus enable patient-specific detection of abnormalities in visual interpretation. Here, we present normative atlases of T1 relaxation times in the brain at 3T (1 mm isotropic) and 7T (0.6 mm isotropic) from two large cohorts of healthy subjects. The atlases were tested in single‐subject comparisons for detection of abnormal relaxation times in patients scanned at both field strengths. The presented detection of subtle alterations not visible in conventional MRI showed the clinical potential of the method.
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