Hough space parametrization: Ensuring global consistency in intensity-based registration
Yigitsoy M, Fotouhi J, Navab N (2014)
Publication Type: Conference contribution
Publication year: 2014
Journal
Publisher: Springer Verlag
Book Volume: 8673 LNCS
Pages Range: 275-282
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: USA
ISBN: 9783319104034
DOI: 10.1007/978-3-319-10404-1_35
Abstract
Intensity based registration is a challenge when images to be registered have insufficient amount of information in their overlapping region. Especially, in the absence of dominant structures such as strong edges in this region, obtaining a solution that satisfies global structural consistency becomes difficult. In this work, we propose to exploit the vast amount of available information beyond the overlapping region to support the registration process. To this end, a novel global regularization term using Generalized Hough Transform is designed that ensures the global consistency when the local information in the overlap region is insufficient to drive the registration. Using prior data, we learn a parametrization of the target anatomy in Hough space. This parametrization is then used as a regularization for registering the observed partial images without using any prior data. Experiments on synthetic as well as on sample real medical images demonstrate the good performance and potential use of the proposed concept. © 2014 Springer International Publishing.
Involved external institutions
Germany (DE)How to cite
APA:
Yigitsoy, M., Fotouhi, J., & Navab, N. (2014). Hough space parametrization: Ensuring global consistency in intensity-based registration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 275-282). USA: Springer Verlag.
MLA:
Yigitsoy, Mehmet, Javad Fotouhi, and Nassir Navab. "Hough space parametrization: Ensuring global consistency in intensity-based registration." Proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, USA Springer Verlag, 2014. 275-282.
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