Deformable registration of immunofluorescence and histology using iterative cross-modal propagation

Conjeti S, Yigitsoy M, Peng T, Sheet D, Chatterjee J, Bayer C, 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: 310-313

Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging

Event location: Brooklyn, NY, USA

ISBN: 9781479923748

DOI: 10.1109/ISBI.2015.7163875

Abstract

In this work, we cast a multi-modal immunofluorescence to histology registration problem is cast to a mono-modal one by iteratively propagating tissue-specific features from one modality to generate intensities in the other modality via an implicitly learnt random-forest regression framework. The proposed method iterates between modality propagation and image registration in a unified formulation. Evaluations on real and simulated tissue deformations establish superiority of the proposed work over comparative methods in handling highly complex intermodal intensity relationships. This framework will aid in quantitative analysis of the tissue structure, functionality thus providing for co-located molecular validations and bringing in spatial fidelity to histological assessment.

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., Peng, T., Sheet, D., Chatterjee, J., Bayer, C.,... Katouzian, A. (2015). Deformable registration of immunofluorescence and histology using iterative cross-modal propagation. In Proceedings - International Symposium on Biomedical Imaging (pp. 310-313). Brooklyn, NY, USA: IEEE Computer Society.

MLA:

Conjeti, Sailesh, et al. "Deformable registration of immunofluorescence and histology using iterative cross-modal propagation." Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, NY, USA IEEE Computer Society, 2015. 310-313.

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