Paper
16 April 1996 Registration of SPECT and MR brain images using a fuzzy surface
J. B. Antoine Maintz, Petra A. van den Elsen M.D., Max A. Viergever
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. B. Antoine Maintz, Petra A. van den Elsen M.D., and Max A. Viergever "Registration of SPECT and MR brain images using a fuzzy surface", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); https://doi.org/10.1117/12.237988
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Cited by 9 scholarly publications.
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KEYWORDS
Single photon emission computed tomography

Image registration

Magnetic resonance imaging

Image segmentation

Brain

Binary data

Skin

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