Symmetric diffeomorphic modeling of longitudinal structural MRI
This technology report describes the longitudinal registration approach that we intend to incorporate into SPM12. It essentially describes a group-wise intra-subject modeling framework, which combines diffeomorphic and rigid-body registration, incorporating a correction for the intensity inhomogenei...
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| Published in | Frontiers in neuroscience Vol. 6; p. 197 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Research Foundation
2013
Frontiers Media S.A |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1662-453X 1662-4548 1662-453X |
| DOI | 10.3389/fnins.2012.00197 |
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| Abstract | This technology report describes the longitudinal registration approach that we intend to incorporate into SPM12. It essentially describes a group-wise intra-subject modeling framework, which combines diffeomorphic and rigid-body registration, incorporating a correction for the intensity inhomogeneity artifact usually seen in MRI data. Emphasis is placed on achieving internal consistency and accounting for many of the mathematical subtleties that most implementations overlook. The implementation was evaluated using examples from the OASIS Longitudinal MRI Data in Non-demented and Demented Older Adults. |
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| AbstractList | This technology report describes the longitudinal registration approach that we intend to incorporate into SPM12. It essentially describes a group-wise intra-subject modeling framework, which combines diffeomorphic and rigid-body registration, incorporating a correction for the intensity inhomogeneity artifact usually seen in MRI data. Emphasis is placed on achieving internal consistency and accounting for many of the mathematical subtleties that most implementations overlook. The implementation was evaluated using examples from the OASIS Longitudinal MRI Data in Non-demented and Demented Older Adults. This technology report describes the longitudinal registration approach that we intend to incorporate into SPM12. It essentially describes a group-wise intra-subject modelling framework, which combines diffeomorphic and rigid-body registration, incorporating a correction for the intensity inhomogeneity artifact usually seen in MRI data. Emphasis is placed on achieving internal consistency and accounting for many of the mathematical subtleties that most implementations overlook. The implementation was evaluated using examples from the OASIS Longitudinal MRI Data in Non-demented and Demented Older Adults. This technology report describes the longitudinal registration approach that we intend to incorporate into SPM12. It essentially describes a group-wise intra-subject modeling framework, which combines diffeomorphic and rigid-body registration, incorporating a correction for the intensity inhomogeneity artifact usually seen in MRI data. Emphasis is placed on achieving internal consistency and accounting for many of the mathematical subtleties that most implementations overlook. The implementation was evaluated using examples from the OASIS Longitudinal MRI Data in Non-demented and Demented Older Adults.This technology report describes the longitudinal registration approach that we intend to incorporate into SPM12. It essentially describes a group-wise intra-subject modeling framework, which combines diffeomorphic and rigid-body registration, incorporating a correction for the intensity inhomogeneity artifact usually seen in MRI data. Emphasis is placed on achieving internal consistency and accounting for many of the mathematical subtleties that most implementations overlook. The implementation was evaluated using examples from the OASIS Longitudinal MRI Data in Non-demented and Demented Older Adults. |
| Author | Ashburner, John |
| AuthorAffiliation | 1 Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology London, UK |
| AuthorAffiliation_xml | – name: 1 Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology London, UK |
| Author_xml | – sequence: 1 givenname: John surname: Ashburner fullname: Ashburner, John |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23386806$$D View this record in MEDLINE/PubMed |
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| ContentType | Journal Article |
| Copyright | 2013. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © 2013 Ashburner and Ridgway. 2013 |
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| Keywords | non-linear registration shape modeling inverse consistency symmetry transitivity longitudinal registration diffeomorphisms geodesic shooting |
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| Snippet | This technology report describes the longitudinal registration approach that we intend to incorporate into SPM12. It essentially describes a group-wise... |
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| SubjectTerms | Aging Algorithms Asymmetry Bias Diffeomorphisms Geodesic Shooting Lie groups Magnetic resonance imaging Medical imaging Neuroscience nonlinear registration Power Registration Shape Modelling Software Symmetry Transitivity |
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| Title | Symmetric diffeomorphic modeling of longitudinal structural MRI |
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