Michael Karl Fix: Katalogdaten im Frühjahrssemester 2021

NameHerr Prof. Dr. Michael Karl Fix
(Professor Universität Bern)
Inselspital Uni Bern
Abt. für Med. Strahlenphysik
3010 Bern
Telefon031 632 21 19

227-0968-00LMonte Carlo in Medical Physics4 KP3GM. Stampanoni, M. K. Fix
KurzbeschreibungIntroduction in basics of Monte Carlo simulations in the field of medical radiation physics. General recipe for Monte Carlo simulations in medical physics from code selection to fine-tuning the implementation. Characterization of radiation by means of Monte Carlo simulations.
LernzielUnderstanding the concept of the Monte Carlo method. Getting familiar with the Monte Carlo technique, knowing different codes and several applications of this method. Learn how to use Monte Carlo in the field of applied medical radiation physics. Understand the usage of Monte Carlo to characterize the physical behaviour of ionizing radiation in medical physics. Share the enthusiasm about the potential of the Monte Carlo technique and its usefulness in an interdisciplinary environment.
InhaltThe lecture provides the basic principles of the Monte Carlo method in medical radiation physics. Some fundamental concepts on applications of ionizing radiation in clinical medical physics will be reviewed. Several techniques in order to increase the simulation efficiency of Monte Carlo will be discussed. A general recipe for performing Monte Carlo simulations will be compiled. This recipe will be demonstrated for typical clinical devices generating ionizing radiation, which will help to understand implementation of a Monte Carlo model. Next, more patient related effects including the estimation of the dose distribution in the patient, patient movements and imaging of the patient's anatomy. A further part of the lecture covers the simulation of radioactive sources as well as heavy ion treatment modalities. The field of verification and quality assurance procedures from the perspective of Monte Carlo simulations will be discussed. To complete the course potential future applications of Monte Carlo methods in the evolving field of treating patients with ionizing radiation.
SkriptA script will be provided.