Abstract
This paper describes DARTEL, which is an algorithm for diffeomorphic image registration. It is implemented for both 2D and 3D image registration and has been formulated to include an option for estimating inverse consistent deformations. Nonlinear registration is considered as a local optimisation problem, which is solved using a Levenberg-Marquardt strategy. The necessary matrix solutions are obtained in reasonable time using a multigrid method. A constant Eulerian velocity framework is used, which allows a rapid scaling and squaring method to be used in the computations. DARTEL has been applied to intersubject registration of 471 whole brain images, and the resulting deformations were evaluated in terms of how well they encode the shape information necessary to separate male and female subjects and to predict the ages of the subjects.
Keywords
DiffeomorphismImage registrationComputationArtificial intelligenceMultigrid methodNonlinear systemInverseImage (mathematics)AlgorithmComputer scienceComputer visionMathematicsEulerian pathConstant (computer programming)Applied mathematicsGeometryPartial differential equationMathematical analysis
MeSH Terms
AlgorithmsArtificial IntelligenceBrainHumansImage EnhancementImage InterpretationComputer-AssistedImagingThree-DimensionalMagnetic Resonance ImagingPattern RecognitionAutomatedReproducibility of ResultsSensitivity and SpecificitySubtraction Technique
Affiliated Institutions
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Publication Info
- Year
- 2007
- Type
- article
- Volume
- 38
- Issue
- 1
- Pages
- 95-113
- Citations
- 8061
- Access
- Closed
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Cite This
John Ashburner
(2007).
A fast diffeomorphic image registration algorithm.
NeuroImage
, 38
(1)
, 95-113.
https://doi.org/10.1016/j.neuroimage.2007.07.007
Identifiers
- DOI
- 10.1016/j.neuroimage.2007.07.007
- PMID
- 17761438