Readings in Vision and Graphics
edited by Luc Van Gool, Gábor Székely, Markus Gross, Bernt Schiele
High Resolution Hyperthermia Treatment Planning
2009. XIV, 214 pages. EUR 64,00. ISBN-10: 3-86628-236-2
This thesis presents a comprehensive planning tool for hyperthermic treatment
of cancer. Novel biological models, numerical methods and simulation software
have been developed to provide efficient, reliable and realistic predictions of
EM-induced heating and the resulting biological effects as well as to optimize
applicator settings. The special techniques required to perform high resolution
simulations with sufficient speed are presented.
Experimental work on MRI-induced implant heating that has been conducted to validate the simulation tools is discussed.
A dedicated segmentation tool (required for the generation of patient specific models) with methods ranging from highly interactive to fully automatic is also described.
About the Author:
Esra Neufeld received his M.Sc. in 'Interdisciplinary Sciences' from ETH Zurich in 2004, focusing on theoretical physics, quantum electronics, stereoselective organic chemistry and physical chemistry. Previously he studied philosophy, theology and jewish law at GTC, UK.
In 2004 he joined the Foundation for Research on Information Technologies in Society (IT'IS) and the Computer Vision Lab of ETH as a research and teaching assistant focusing on hyperthermia treatment planning for cancer, (bio)physical simulations and medical image segmentation.
Cancer, Hyperthermia, Treatment Planning, Thermal Modeling, Electromagnetic, Modeling, FDTD, High Resolution, Conformal, MRI, Implants, Dosimetry
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