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Indirect Knowledge-Based Approach to Non-Rigid Multi-Modal Registration of Medical Images

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2 Author(s)
Wong, A. ; Univ. of Waterloo, Waterloo ; Bishop, W.

Information acquired using different medical imaging techniques (e.g., MRI, PET, CT, etc.) can be combined to get a clear understanding of the overall condition of a patient for the purpose of diagnosis. Registering images from different modalities without a priori knowledge is difficult since the images may have very different intensity mappings and structural characteristics. This paper presents a novel approach to the multi-modal registration of medical images through the use of a priori knowledge to align medical images using an indirect mapping. The proposed algorithm uses stored information from successful alignment results to infer a relationship between the input images from different modalities. This relationship is then used to estimate the transformations needed to align the medical images together. Experimental results show that a high level of accuracy can be achieved using the proposed algorithm to align medical images from different modalities.

Published in:

Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on

Date of Conference:

22-26 April 2007