Mutually coherent structural representation for image registration through joint manifold embedding and alignment

Conjeti S, Yigitsoy M, Sheet D, Chatterjee J, Navab N, Katouzian A (2015)

Publication Type: Conference contribution

Publication year: 2015

Journal

Proceedings - International Symposium on Biomedical Imaging

Publisher: IEEE Computer Society

Book Volume: 2015-July

Pages Range: 601-604

Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging

Event location: Brooklyn, NY, USA

ISBN: 9781479923748

DOI: 10.1109/ISBI.2015.7163945

Abstract

In this paper, we introduce mutually coherent structural representations (McSR) for image registration which learns a mapping of local structural descriptors to create a unique scalar representation, which is similar across modalities. The McSR is learnt using joint alignment and embedding of Laplacian eigenmaps using modality-combination specific dense structural descriptors. The resulting alternate image representation offers richer structurally-driven information for registration while being invariant to inter-modal differences in intensities. The proposed formualtion has been evaluated for robustness and registration error on standard multimodal brain image datasets. It is observed to demonstrate superior systematic recovery and performance over comparative simultaneous registration methods.

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) Indian Institute of Technology Kharagpur IN India (IN)

How to cite

APA:

Conjeti, S., Yigitsoy, M., Sheet, D., Chatterjee, J., Navab, N., & Katouzian, A. (2015). Mutually coherent structural representation for image registration through joint manifold embedding and alignment. In Proceedings - International Symposium on Biomedical Imaging (pp. 601-604). Brooklyn, NY, USA: IEEE Computer Society.

MLA:

Conjeti, Sailesh, et al. "Mutually coherent structural representation for image registration through joint manifold embedding and alignment." Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, NY, USA IEEE Computer Society, 2015. 601-604.

BibTeX: Download