30
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      HAMMER: hierarchical attribute matching mechanism for elastic registration

      IEEE transactions on medical imaging
      Institute of Electrical and Electronics Engineers (IEEE)

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references44

          • Record: found
          • Abstract: not found
          • Article: not found

          Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Deformable templates using large deformation kinematics.

            A general automatic approach is presented for accommodating local shape variation when mapping a two-dimensional (2-D) or three-dimensional (3-D) template image into alignment with a topologically similar target image. Local shape variability is accommodated by applying a vector-field transformation to the underlying material coordinate system of the template while constraining the transformation to be smooth (globally positive definite Jacobian). Smoothness is guaranteed without specifically penalizing large-magnitude deformations of small subvolumes by constraining the transformation on the basis of a Stokesian limit of the fluid-dynamical Navier-Stokes equations. This differs fundamentally from quadratic penalty methods, such as those based on linearized elasticity or thin-plate splines, in that stress restraining the motion relaxes over time allowing large-magnitude deformations. Kinematic nonlinearities are inherently necessary to maintain continuity of structures during large-magnitude deformations, and are included in all results. After initial global registration, final mappings are obtained by numerically solving a set of nonlinear partial differential equations associated with the constrained optimization problem. Automatic regridding is performed by propagating templates as the nonlinear transformations evaluated on a finite lattice become singular. Application of the method to intersubject registration of neuroanatomical structures illustrates the ability to account for local anatomical variability.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              On image analysis by the methods of moments

                Bookmark

                Author and article information

                Journal
                10.1109/TMI.2002.803111
                12575879

                Comments

                Comment on this article