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.
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.