Seamless Warping of Diffusion Tensor Fields

To warp diffusion tensor fields accurately, tensors must be reoriented in the space to which the tensors are warped based on both the local deformation field and the orientation of the underlying fibers in the original image. Existing algorithms for warping tensors typically use forward mapping deformations in an attempt to ensure that the local deformations in the warped image remains true to the orientation of the underlying fibers; forward mapping, however, can also create "seams" or gaps and consequently artifacts in the warped image by failing to define accurately the voxels in the template space where the magnitude of the deformation is large (e.g., Jacobian 1). Backward mapping, in contrast, defines voxels in the template space by mapping them back to locations in the original imaging space. Backward mapping allows every voxel in the template space to be defined without the creation of seams, including voxels in which the deformation is extensive. Backward mapping, how...

• Type: Journal
• Year: 2008
• Where: TMI
• Authors: Dongrong Xu, Xuejun Hao, Ravi Bansal, Kerstin J. Plessen, Bradley S. Peterson
• Keywords: Local Deformations, Template Space, Tensors, TMI 2008