29 July 1993 Cardiac image registration via global and local warping
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Abstract
Image produced with magnetic resonance imaging (MRI), X-ray computed tomography (CT), and positron emission tomography (PET), produce complimentary anatomic and physiologic information. The synthesis of a single image, combining the structural information from MRI, with the corresponding physiologic and metabolic information from PET or CT would provide physicians and researchers with a means to correlate function with structure. We adapted a method originating with Goshtasby and later described by Wolberg which decomposes the anatomic image into regions which are then individually mapped to corresponding regions in the functional image. The mapping function is found by a least squares solution to a set of polynomial basis functions. The selection of the set of basis functions varies the 'order' of the mapping function from affine to the inclusion of shear and higher order deformations. Local deformations in the contour of the heart wall are adjusted by our method. Global high order deformations can also be effected. We tested our approach by developing a software module for use with our laboratory's image visualization and analysis system (VIDATM), and mapping MRI image of the canine heart (with extrinsic markers) to hand-traced contours from pathology slides of the heart from the same animal. We will present illustrations of these image mappings and show that this method successfully accounts and corrects for local deformations in the object boundaries as well as global scale and orientation mismatches, which are not addressed by previously described techniques.
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Steven D. Kugelmass, Steven D. Kugelmass, C. H. Labovitz, C. H. Labovitz, Eric A. Hoffman, Eric A. Hoffman, } "Cardiac image registration via global and local warping", Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); doi: 10.1117/12.148611; https://doi.org/10.1117/12.148611
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