Non-rigid Registration of 3D Microscopy Images for the Normalization of Different Cell Nuclei

Autor:	Siwei Yang, Thomas Cremer, Kathrin Teller, Daniela Köhler, Roland Eils, Karl Rohr
Rok vydání:	2006
Předmět:	Physics Normalization (statistics) business.industry Computation 3d microscopy Imaging phantom Gaussian filter symbols.namesake Microscopy symbols Segmentation Computer vision Artificial intelligence business
Zdroj:	Bildverarbeitung für die Medizin 2006 ISBN: 3540321365 Bildverarbeitung für die Medizin
DOI:	10.1007/3-540-32137-3_74
Popis:	We present an intensity-based approach for non-rigid registration to normalize 3D multi-channel microscopy images of different cell nuclei. A main problem with cell nuclei images is that the intensity structure of different nuclei differs very much, and thus an intensity-based scheme cannot be used directly. Instead, we first perform a segmentation of the images, smooth them by a Gaussian filter, and then apply an intensity-based algorithm. To reduce the computation time we use a multi-resolution scheme. Our approach has been successfully applied using 2D cell-like synthetic images, 3D phantom images, as well as 3D multi-channel microscopy images representing different chromosome regions and gene regions (BACs).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b1fce753506317bf9fdba17b405322e7 https://doi.org/10.1007/3-540-32137-3_74 Zobrazit plný text záznamu