About ten years after the first edition comes this second edition of Monte Carlo Techniques in Radiation Therapy: Introduction, Source Modelling, and Patient Dose Calculations, thoroughly updated and extended with the latest topics, edited by Frank Verhaegen and Joao Seco. This book aims to provide a brief introduction to the history and basics of Monte Carlo simulation, but again has a strong focus on applications in radiotherapy. Since the first edition, Monte Carlo simulation has found many new applications, which are included in detail.
The applications sections in this book cover the following:
- Modelling transport of photons, electrons, protons, and ions
- Modelling radiation sources for external beam radiotherapy
- Modelling radiation sources for brachytherapy
- Design of radiation sources
- Modelling dynamic beam delivery
- Patient dose calculations in external beam radiotherapy
- Patient dose calculations in brachytherapy
- Use of artificial intelligence in Monte Carlo simulations
This book is intended for both students and professionals, both novice and experienced, in medical radiotherapy physics. It combines overviews of development, methods, and references to facilitate Monte Carlo studies.
Table of Contents
1.History of Monte Carlo.2. Basics of Monte Carlo Simulations. 3. Variance Reduction Techniques 4. Monte Carlo Modelling of External Photon Beams in Radiotherapy. 5. Monte Carlo Modelling of External Electron Beams in Radiotherapy. 6. Monte Carlo techniques in brachytherapy: basics and source and detector modelling. 7. Monte Carlo Modeling of Scanned Ion Beams in Radiotherapy. 8. Monte Carlo simulations for Treatment Device Design. 9. Dynamic Beam Delivery and 4D Monte Carlo. 10. Photons: Clinical considerations and applications. 11. Patient Dose Calculation. 12. Electrons: Clinical considerations and applications. 13. Protons: Clinical considerations and applications. 14. Monte Carlo as a QA tool for advanced radiation therapy. 15. Monte Carlo applications in total skin electron therapy (TSET). 16. Monte Carlo simulation in brachytherapy patient and applicator modelling. 17. Artificial intelligence and Monte Carlo simulation.
Frank Verhaegen is Head of Clinical Physics Research at the MAASTRO Clinic in Maastricht, the Netherlands. He holds a professorship from the University of Maastricht. Formerly, he held an Associate Professorship at McGill University in Montreal, Canada. He earned his PhD from the University of Ghent in Belgium in 1996. He held research positions at the Royal Marsden Hospital and the National Physical Laboratory (UK) for several years. Dr Verhaegen is a Fellow of the Institute of Physics and Engineering in Medicine and the Institute of Physics. His group has published about 250 research papers, a significant fraction of them about Monte Carlo modelling. His interests range broadly in imaging and dosimetry for photon, proton and electron therapy, brachytherapy and small animal radiotherapy. He also founded a company that offers Monte Carlo-based treatment planning for preclinical precision radiation research. Dr Verhaegen has been passionate about Monte Carlo simulations since the days of his Masters thesis in the late eighties.
Joao Seco graduated with a PhD from the University of London, at the Institute of Cancer Research (ICR) and Royal Marsden Hospital in London, UK. He then went on to become an Assistant Professor of Radiation Oncology at Harvard Medical School in Boston, working at the Massachusetts General Hospital (MGH). He then returned to Europe to work at the German Cancer Research Center, DKFZ in Heidelberg, heading up a new group dedicated to ion beam research and with the focus on 1) novel imaging technologies to reduce Bragg peak positioning errors in patients and 2) on investigating the mechanism of radiation triggered DNA damage via reactive oxygen species. He is also presently the Chair of Medical Physics at the Department of Physics and Astronomy, Heidelberg University and is a member of the EFOMP Scientific Committee, representing the DGMP, German Society for Medical Physics.