3D multimodality medical image registration using morphological tools

Multimodal medical images are often of too different a nature to be registered on the basis of the image grey values only. It is the purpose of this paper to construct operators that extract similar structures from these images that will enable rigid registration by simple grey value based methods,...

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Bibliographic Details
Published in:Image and vision computing 2001, Vol.19 (1), p.53-62
Main Authors: Maintz, J.B.A., van den Elsen, P.A., Viergever, M.A.
Format: Article
Language:English
Subjects:
3D registration methods
Computer systems
Computerized tomography
Correlation methods
Image processing
Magnetic resonance imaging
Mathematical morphology
Mathematical operators
Morphological operators
Multimodal medical images
Positron emission tomography
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Summary:Multimodal medical images are often of too different a nature to be registered on the basis of the image grey values only. It is the purpose of this paper to construct operators that extract similar structures from these images that will enable rigid registration by simple grey value based methods, such as maximization of cross-correlation. These operators can be constructed using only basic morphological tools such as erosion and dilation. Simple versions of these operators are easily implemented on any computer system. We will show that accurate registration of images of various modalities (MR, CT, SPECT and PET) can be obtained using this approach.
ISSN:0262-8856
1872-8138
DOI:10.1016/S0262-8856(00)00051-2