Atlas-based segmentation using passive contours

Beitrag bei einer Tagung


Details zur Publikation

Autorinnen und Autoren: Gigengack F, Ruthotto L, Kosters T, Jiang X, Modersitzki J, Burger M, Hermann S, Schafers KP
Jahr der Veröffentlichung: 2012
Seitenbereich: 3015-3016
ISBN: 9781467320306
ISSN: 1095-7863
Sprache: Englisch


Abstract

The presented segmentation framework is applied to 18FFDG-PET/CT data of seven healthy adult C57/Bl6 mice. All reconstructions of the PET datasets were performed with the software EMRECON [9], [10]. For the non-parametric registration, an exhaustive parameter search is performed based on manual ground-truth segmentations to provide meaningful values for the various parameters (cf. Equation (1)). We found the following optimal parameter set: αCT = 10, αPET = 10, αCV = 100, αS = 1000. © 2012 IEEE.


Einrichtungen weiterer Autorinnen und Autoren

Fraunhofer-Institut für Bildgestützte Medizin (MEVIS)
Westfälische Wilhelms-Universität (WWU) Münster


Zitierweisen

APA:
Gigengack, F., Ruthotto, L., Kosters, T., Jiang, X., Modersitzki, J., Burger, M.,... Schafers, K.P. (2012). Atlas-based segmentation using passive contours. In Proceedings of the 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012 (pp. 3015-3016). Anaheim, CA, usa.

MLA:
Gigengack, Fabian, et al. "Atlas-based segmentation using passive contours." Proceedings of the 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012, Anaheim, CA, usa 2012. 3015-3016.

BibTeX: 

Zuletzt aktualisiert 2019-23-08 um 21:53