In this paper, we present a novel registration algorithm for locally affine registrations. This method preserves the anatomical and intensity class relationships between the local regions. A regularisation procedure is used to maintain a global diffeomorphic transformation. Combined with a novel generic method for accurately inverting the final deformation field, we include our techniques within an atlas-based segmentation propagation framework. We applied our method to automatically segment the whole heart from cardiac magnetic resonance images from a cohort of 18 volunteers (acquisition resolution 2 × 2 × 2 mm). The results show that the proposed method provides a robust initialisation for the atlas-based segmentation propagation framework refined with a fluid registration. We validated our approach against other registration strategies, and demonstrated that we improved the accuracy of the whole heart segmentations (1.8 ± 0.42 mm). © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Zhuang, X., Rhode, K., Arridge, S., Razavi, R., Hill, D., Hawkes, D., & Ourselin, S. (2008). An atlas-based segmentation propagation framework using locally affine registration - Application to automatic whole heart segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5242 LNCS, pp. 425–433). Springer Verlag. https://doi.org/10.1007/978-3-540-85990-1_51
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