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      A fast diffeomorphic image registration algorithm

      NeuroImage

      Elsevier BV

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          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.

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          Author and article information

          Journal
          NeuroImage
          NeuroImage
          Elsevier BV
          10538119
          October 2007
          October 2007
          : 38
          : 1
          : 95-113
          10.1016/j.neuroimage.2007.07.007
          17761438
          © 2007

          https://www.elsevier.com/tdm/userlicense/1.0/

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