Statistical Intensity Prior Models with Applications in Multimodal Image Registration [Elektronische Ressource] / Christoph Gütter. Betreuer: Joachim Hornegger

Statistical Intensity Prior Models withApplications in Multimodal ImageRegistrationDer Technischen Fakultät derUniversität Erlangen–Nürnbergzur Erlangung des GradesDOKTOR–INGENIEURvorgelegt vonChristoph GütterErlangen — 2011Deutscher Titel:Statistische Modelle für Intensitäts-basiertes Vorwissen mitAnwendungen in der multimodalen BildregistrierungAls Dissertation genehmigt von derTechnischen Fakultät derUniversität Erlangen-NürnbergTag der Einreichung: 19.07.2010Tag der Promotion: 28.01.2011Dekan: Prof. Dr.-Ing. habil. R. GermanBerichterstatter: Prof. J. HorneggerProf. Dr. D. CremersProf. Dr.med. T. KuwertAcknowledgmentI would like to thank my research advisor, Prof. Joachim Hornegger, for his friendship,encouragement, and direction during the course of my research. From the very firstmoment, he has been an excellent source of ideas and stimulating discussions. I amvery thankful to him for the opportunity to earn my degree in a truly mixed, industrialand academic, environment. I am very indebted to my research advisor at SiemensCorporate Research (SCR), Dr. Chenyang Xu, for his invaluable guidance in bothacademic and industrial topics that provided me with a manifold research education.His trust, constant motivation, and insights carried me through the ups and downs ofresearch and decision making.