Docteur de l'université Automatic Segmentation and Shape Analysis ...

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140 Chapter 6 Conclusions 6.2 Future works In the future work, new methodologies and algorithms for brain image segmentation, shape modeling and analysis of neuroanatomical structures may be developed to extend the current work presented in this thesis. 6.2.1 Non-local approach to the atlas based image segmentation Non-local approach has been developed to select patches of atlases similar to the target image. One advantage of this approach is its computational efficiency, since non-rigid registrations of the atlases images are no longer necessary in this approach. The label for each voxel is searched over the atlases, which provides a larger selection pool of candidate labeling. The current strategies for atlas selection and fusion may be extended to the patch selection and fusion in the non-local approach. In addition to the propagation of the anatomical labeling, demographic and diagnostic information of each atlas may also be propagated to the target image, thus localizing the effects of the pathology as well as normal physiology on a voxelwise basis. 6.2.2 Groupwise shape correspondence by optimization The method for shape correspondence by optimization adopted and developed in this thesis applies a fluid regularization to the deformation, which is similar to the techniques widely used image registration. The current state-of-the-art in the field of image registration provides some important insight to the solution of the correspondence problem by optimization. A general algorithmic framework accommodating a wide range of registration techniques including fluid registration, elastic registration and Demons method may be implemented.
Chapter 6 Conclusions 141 6.2.3 Shape analysis of biological objects The localization of shape analysis shows promising results in detecting the effects of local and global changes in hippocampal shapes due to AD. The current work of hippocampal shape analysis identifies the subregions on the hippocampal sur- face affected by atrophy in the disease using a statistical test. More sophisticated approach incorporating anatomical labeling of hippocampal subfields given the development of higher resolution MR images may yield anatomically more mean- ingful results. In addition to the group information of diagnosis, other biomarkers associated to the pathological development of the disease may provide extra information in more accurate localization targeting the alternations in the hippocampal morphology linked to the disease progression.
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UNIVERSITE DE BOURGOGNE U.F.R. SCIE
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