Alignment by Maximization of Mutual Information
International Journal of Computer Vision
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Non-rigid Registration of Breast MR Images Using Mutual Information
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
A template free approach to volumetric spatial normalization of brain anatomy
Pattern Recognition Letters
Mean template for tensor-based morphometry using deformation tensors
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Quantification of growth and motion using non-rigid registration
CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
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Atrophy is known to occur at specific sites around the brain in both Alzheimer's disease (AD) and Fronto-Temporal Lobe Dementia (FTLD), inducing characteristic shape changes in brain anatomy. In this paper we employ an entropy driven fine lattice free form registration algorithm to investigate whole brain structural changes induced by these diseases relative to normal anatomy, using deformation morphometry. We focus on Alzheimer's disease (AD) and two common sub groups of FTLD: the frontal lobe variant (FTD) and semantic dementia (SD). The shape of each subject group was characterized at each point in the reference anatomy by the distribution of the determinant of the Jacobian of the transformation mapping the subject to a common reference anatomy. Statistical measures were then applied to locate points where voxel level differences in the Jacobian occur between a control group and each of the disease groups, indicating spatially consistent shape differences induced by a particular disease. Spatial maps of the statistical differences showed very different structural characteristics in each disease. AD was characterized by relative contractions in regions of the hippocampus and the parietal lobe and expansions of the ventricular CSF spaces. FTD was characterized by patterns of contraction in the frontal lobe. SD was characterized by large contractions in the temporal lobe, hippocampus and expansion of the ventricular CSF spaces.