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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Multiresolution Hierarchical Shape Models in 3D Subcortical Brain Structures
verfasst von : Juan J. Cerrolaza, Noemí Carranza Herrezuelo, Arantxa Villanueva, Rafael Cabeza, Miguel Angel González Ballester, Marius George Linguraru
Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
Verlag: Springer Berlin Heidelberg
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Point Distribution Models (PDM) are one of the most extended methods to characterize the underlying population of set of samples, whose usefulness has been demonstrated in a wide variety of applications, including medical imaging. However, one important issue remains unsolved: the large number of training samples required. This problem becomes critical as the complexity of the problem increases, and the modeling of 3
D
multiobjects/organs represents one of the most challenging cases. Based on the 3
D
wavelet transform, this paper introduces a multiresolution hierarchical variant of PDM (MRH-PDM) able to efficiently characterize the different inter-object relationships, as well as the particular locality of each element separately. The significant advantage of this new method over two previous approaches in terms of accuracy has been successfully verified for the particular case of 3
D
subcortical brain structures.