Submillimeter T 1 atlas for subject-specific abnormality detection at 7T.

Autor: Piredda GF; Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.; Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland.; CIBM-AIT, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Caneschi S; Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Hilbert T; Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Bonanno G; Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Bern, Switzerland.; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.; Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland., Joseph A; Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Bern, Switzerland.; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.; Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland., Egger K; Department of Neuroradiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany., Peter J; University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland., Klöppel S; University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland., Jehli E; Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.; Department of Neurosurgery, University Hospital of Zurich, Zurich, Switzerland., Grieder M; Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland., Slotboom J; Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland., Seiffge D; Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland., Goeldlin M; Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland., Hoepner R; Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland., Willems T; Institute of Psychology, University of Bern, Bern, Switzerland., Vulliemoz S; EEG and Epilepsy Unit, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland., Seeck M; EEG and Epilepsy Unit, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland., Venkategowda PB; Siemens Healthcare Pvt. Ltd., Bangalore, India., Corredor Jerez RA; Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Maréchal B; Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Thiran JP; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Wiest R; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.; Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland., Kober T; Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.; LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Radojewski P; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.; Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland.
Jazyk: angličtina
Zdroj: Magnetic resonance in medicine [Magn Reson Med] 2023 Apr; Vol. 89 (4), pp. 1601-1616. Date of Electronic Publication: 2022 Dec 07.
DOI: 10.1002/mrm.29540
Abstrakt: Purpose: Studies at 3T have shown that T 1 relaxometry enables characterization of brain tissues at the single-subject level by comparing individual physical properties to a normative atlas. In this work, an atlas of normative T 1 values at 7T is introduced with 0.6 mm isotropic resolution and its clinical potential is explored in comparison to 3T.
Methods: T 1 maps were acquired in two separate healthy cohorts scanned at 3T and 7T. Using transfer learning, a template-based brain segmentation algorithm was adapted to ultra-high field imaging data. After segmenting brain tissues, volumes were normalized into a common space, and an atlas of normative T 1 values was established by modeling the T 1 inter-subject variability. A method for single-subject comparisons restricted to white matter and subcortical structures was developed by computing Z-scores. The comparison was applied to eight patients scanned at both field strengths for proof of concept.
Results: The proposed method for morphometry delivered segmentation masks without statistically significant differences from those derived with the original pipeline at 3T and achieved accurate segmentation at 7T. The established normative atlas allowed characterizing tissue alterations in single-subject comparisons at 7T, and showed greater anatomical details compared with 3T results.
Conclusion: A high-resolution quantitative atlas with an adapted pipeline was introduced and validated. Several case studies on different clinical conditions showed the feasibility, potential and limitations of high-resolution single-subject comparisons based on quantitative MRI atlases. This method in conjunction with 7T higher resolution broadens the range of potential applications of quantitative MRI in clinical practice.
(© 2022 International Society for Magnetic Resonance in Medicine.)
Databáze: MEDLINE
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