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Proceedings Paper

Automatic registration of 3D images of the brain based on fuzzy objects
Author(s): Andre M. F. Collignon; Dirk Vandermeulen; Paul Suetens; Guy Marchal; Albert L. Baert; Andre J. Oosterlinck
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Paper Abstract

Multimodal fuzzy voxel labeling is presented as the basis for a new image registration criterion. The corresponding registration system's architecture performs an iterative calculation of the labeling and the registration process simultaneously, while most other registration systems perform segmentation and iterative estimation of registration parameters sequentially. It will be argued that its application leads to more automated and more accurate registration solutions than does e.g. the use of typical surface based registration systems. In order to support the arguments raised we have performed a case study using both 2D MR software phantom image, and 2D and 3D MR/CT image data. In this case study we looked at the behaviour of maximum likelihood voxel labeling as the simplest instantiation of a fuzzy voxel labeling algorithm. However, the architecture is open to integration of more general multimodal fuzzy voxel labeling algorithms.

Paper Details

Date Published: 11 May 1994
PDF: 14 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175051
Show Author Affiliations
Andre M. F. Collignon, Katholieke Univ. Leuven (Belgium)
Dirk Vandermeulen, Katholieke Univ. Leuven (Belgium)
Paul Suetens, Katholieke Univ. Leuven (Belgium)
Guy Marchal, Katholieke Univ. Leuven (Belgium)
Albert L. Baert, Katholieke Univ. Leuven (Belgium)
Andre J. Oosterlinck, Katholieke Univ. Leuven (Belgium)


Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

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