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Proceedings Paper

Registration of SPECT and MR brain images using a fuzzy surface
Author(s): J. B. Antoine Maintz; Petra A. van den Elsen; Max A. Viergever
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Paper Abstract

Surface (e.g., skin or cortex) based methods to register SPECT and MR images are well known and widely used. Such methods have the disadvantage of needing some kind of segmentation to obtain the surface, which is often a high-level task and possibly error-prone. Also, when reducing the gray-valued images to surfaces, i.e., binary structures, valuable information may be lost in the process. We propose to use the same surfaces, but in a fuzzy way, i.e., we determine the 'surfaceness,' thus retaining more information and avoiding binary segmentation. Such surfaceness can be computed using various techniques. We found a simple morphological approach (which is easy to implement and has very low computational complexity) to be quite sufficient. The resultant surfaceness images are subsequently registered by optimizing the cross-correlation value. The optimization is done using a hierarchical approach to cut the number of required computer operations down to an acceptable level.

Paper Details

Date Published: 16 April 1996
PDF: 9 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237988
Show Author Affiliations
J. B. Antoine Maintz, Univ. Hospital Utrecht Imaging Ctr. (Netherlands)
Petra A. van den Elsen, Stanford Univ. School of Medicine (United States)
Max A. Viergever, Univ. Hospital Utrecht Imaging Ctr. (Netherlands)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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