Several recent studies demonstrate the potential of using tubular structures such as vessels as a basis for image registration. In this paper, we present a novel technique for the deformable registration of tubular structures. Our approach aligns tubular models, e.g. vessels of an organ, with an image by combining both rigid and non-rigid transformations in a hierarchical manner. The physical structure and properties of the vessels are taken into account to drive the registration process. Our model-to-image registration method shows sub-voxel accuracy as well as robustness to noise and a convergence time of less than one minute. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Jomier, J., & Aylward, S. R. (2004). Rigid and deformable vasculature-to-image registration: A hierarchical approach. In Lecture Notes in Computer Science (Vol. 3216, pp. 829–836). Springer Verlag. https://doi.org/10.1007/978-3-540-30135-6_101
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