Building tools for image-guided adaptive radiotherapy of bladder cancer

Building tools for image-guided adaptive radiotherapy of bladder cancer

Authors	X. Chai
Supervisors	M.B. van Herk C.C.E. Koning
Cosupervisors	A. Bel
Award date	07-06-2012
ISBN	9789088914188
Number of pages	142
Publisher	Oisterwijk: Boxpress
Organisations	Faculty of Medicine (AMC-UvA)
Abstract	From this thesis, we can conclude that the injection of lipiodol markers into the bladder wall is a feasible method to track bladder tumors for IGRT of partial bladder. We succeeded in developing a biomechanical bladder model and bladder segmentation methods for online CBCT, which are useful tools for computer-aided plan generation and selection techniques for IGART of bladder cancer. Clinical implementation of the IGART of bladder cancer is the next step to be taken.
Document type	PhD thesis
Note	Research conducted at: Universiteit van Amsterdam
Language	English
Downloads	Thesis Cover Title pages Contents 1: General introduction and outline 2: Behavior of lipiodol markers during image-guided radiotherapy of bladder cancer 3: Finite element based bladder modeling for image-guided radiotherapy of bladder cancer 4: A voxel-based finite element model for the prediction of bladder deformation 5: Automatic bladder segmentation on CBCT for multiple plan ART of bladder cancer using a patient-specific bladder model 6: Semiautomatic bladder segmentation on CBCT using a population based model for multiple plan ART of bladder cancer 7: General discussion and conclusion Summary Samenvatting Bibliography Acknowledgements List of publications Curriculum vitae
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Building tools for image-guided adaptive radiotherapy of bladder cancer