Print Email Facebook Twitter Laplacian eigenmaps for multimodal groupwise image registration Title Laplacian eigenmaps for multimodal groupwise image registration Author Polfliet, Mathias (Vrije Universiteit Brussel; IMEC-Solliance; Erasmus MC) Klein, S. (Erasmus MC) Niessen, W.J. (TU Delft ImPhys/Quantitative Imaging; Erasmus MC) Vandemeulebroucke, Jef (Vrije Universiteit Brussel; IMEC-Solliance) Contributor Styner, Martin A. (editor) Angelini, Elsa D. (editor) Date 2017 Abstract Multimodal groupwise registration has been of growing interest to the image processing community due to developments in scanner technologies (e.g. multiparametric MRI, DCE-CT or PET-MR) that increased both the number of modalities and number of images under consideration. In this work a novel methodology is presented for multimodal groupwise registration that is based on Laplacian eigenmaps, a nonlinear dimensionality reduction technique. Compared to recently proposed dissimilarity metrics based on principal component analysis, the proposed metric should enable a better capture of the intensity relationships between different images in the group. The metric is constructed to be the second smallest eigenvalue from the eigenvector problem defined in Laplacian eigenmaps. The method was validated in three distinct experiments: a non-linear synthetic registration experiment, the registration of quantitative MRI data of the carotid artery, and the registration of multimodal data of the brain (RIRE). The results show increased accuracy and robustness compared to other state-of-the-art groupwise registration methodologies. Subject Algebraic connectivityGroupwise registrationLaplacian eigenmapsMultimodal registration To reference this document use: http://resolver.tudelft.nl/uuid:6268261b-e009-4efc-a66d-1b467c9c27d0 DOI https://doi.org/10.1117/12.2248719 Publisher SPIE, Bellingham, WA, USA ISBN 978-1-510607118 Source Medical Imaging 2017: Image Processing Event Medical Imaging 2017: Image Processing, 2017-02-12 → 2017-02-14, Orlando, United States Series Proceedings of SPIE, 1605-7422, 10133 Part of collection Institutional Repository Document type conference paper Rights © 2017 Mathias Polfliet, S. Klein, W.J. Niessen, Jef Vandemeulebroucke Files PDF 101331N.pdf 602.18 KB Close viewer /islandora/object/uuid:6268261b-e009-4efc-a66d-1b467c9c27d0/datastream/OBJ/view