Image processing and registration in electron imaging

Abstract

Event Abstract Back to Event Image processing and registration in electron imaging Jan Sijbers1* 1 University of Antwerp, Belgium Image processing of electron microscopy images deals with extracting quantitative information out of a processed or reconstructed image. It is clear that the quality of the reconstructed image is crucial for further processing. In electron tomography, this quality is highly dependent on the registration step prior to reconstruction in which the projection images are spatially aligned. Furthermore, the quality of the reconstructed 3D image also highly depends on the applied reconstruction method. Conventionally, registration is a preprocessing step prior to the reconstruction. An integrated approach, in which alignment is combined with reconstruction, however, has the potential to perform significantly better than a two-step approach (alignment and then reconstruction). The same holds for segmentation after reconstruction. In this talk, image registration will be reviewed and methods for integrated alignment, reconstruction, and segmentation will be discussed. Acknowledgements J. Sijbers acknowledges the IUAP project P7/11 Keywords: image processing and analysis, Registration, reconstruction, Electron microscopy, Magnetic Resonance Imaging Conference: Imaging the brain at different scales: How to integrate multi-scale structural information?, Antwerp, Belgium, 2 Sep - 6 Sep, 2013. Presentation Type: Lecture Topic: Handling of electron microscopy data sets Citation: Sijbers J (2013). Image processing and registration in electron imaging. Front. Neuroinform. Conference Abstract: Imaging the brain at different scales: How to integrate multi-scale structural information?. doi: 10.3389/conf.fninf.2013.10.00011 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 22 Jul 2013; Published Online: 30 Aug 2013. * Correspondence: Prof. Jan Sijbers, University of Antwerp, Antwerpen, Belgium, jan.sijbers@ua.ac.be Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Jan Sijbers Google Jan Sijbers Google Scholar Jan Sijbers PubMed Jan Sijbers Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.