Large Deformation Diffeomorphic Metric Mapping (LDDMM) aims to assign metric distances on the space of anatomical images in Computational Anatomy thereby allowing for the direct comparison and quantization of morphometric changes in shapes and structure of biological tissues. lddmm-dti-vector matches DTI images through the mapping of the vector fields of each image. lddmm-dit-tensor matches DTI images through the mapping of the tensor fields of each image. As part of these efforts the Center for Imaging Science at Johns Hopkins University develop techniques to not only compare images, but also to visualize the changes and differences.
For additional information on lddmm-dti-vector please refer to Yan Cao, Michael I. Miller, Raimond Winslow, and Laurent Younes, Large Deformation Diffeomorphic Metric Mapping of Vector Fields, IEEE Transactions on Medical Imaging, Vol. 24, No. 9:1216-1230, September 2005.
lddmm-dti-vector software developed with support from National Institutes of Health (NIH) under Grant 1-R01-HL70894, in part by the Falk Medical Trust, in part by the NIH under Grant P41-RR15241, Grant P50 MH71616, and Grant AG20012.
For additional information on lddmm-dti-tensor please refer to Yan Cao, Michael I. Miller, Susumu Mori, Raimond Winslow, and Laurent Younes, Diffeomorphic Mapping of Diffusion Tensor Images
Last Modified: Monday, 25th April, 2011 @ 11:19am