Symmetric Diffeomorphic Modeling of Longitudinal Structural MRI

By John Ashburner, Gerard R. Ridgway. Frontiers in Neuroscience, 2013

335 citations recorded by the source corpus.

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.

Subfields: Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/af4f6823fe300ff71a614e6147107c003c4a72b1

How researchers see this paper

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In Radiology, Nuclear Medicine and Imaging

1. Hans-Jochen Heinze
2. Ulman E. R. Lindenberger
3. Martin Lövdén
4. Lars Bäckman

Citations in the corpus

• Relationships of peripheral IGF-1, VEGF and BDNF levels to exercise-related changes in memory, hippocampal perfusion and volumes in older adults (2016, methodology): “Therefore, we used the novel longitudinal registration tool in SPM12, which allows good alignment of longitudinal brain data (Ashburner and Ridgway, 2012; Rohrer et al., 2013).”
• Investigating white matter fibre density and morphology using fixel-based analysis (2017, neutral): “3–5 of Ashburner and Ridgway (2013)).”