This book explores the current difficulties and unsolved problems in the field of particle therapy and, after analysing them, discusses how (and if) innovative Monte Carlo approaches can be used to solve them.

Each book chapter is dedicated to a different sub-discipline, including multi-ion treatments, flash-radiotherapy, laser-accelerated beams, nanoparticles effects, binary reactions to enhance radiobiology, and space-related issues. This is the first book able to provide a comprehensive insight into this exciting field and the growing use of Monte Carlo in medical physics.

It will be of interest to graduate students in medicine and medical physics, in addition to researchers and clinical staff.

Key Features:

Explores the exciting and interdisciplinary topic of Monte Carlo in particle therapy and medicine
Addresses common challenges in the field
Edited by an authority on the subject, with chapter contributions from specialists


Chapter 1: The Monte Carlo Method and Its Applications to Heavily Charged Particle Therapy. Chapter 2: Applications of Monte Carlo Calculations in Clinical Dosimetry of Proton and Ion Beams. Chapter 3: Solving Range Uncertainties with Gamma Prompt/Charged Particle Prompt. Chapter 4: Macroscopic and microscopic calculation approaches for LET calculations. Chapter 5: Low energy inelastic process in hadrontherapy. Chapter 6: Experimental Data of Nuclear Fragmentation for Validating Monte Carlo Modes: Present Availability and Lacks. Chapter 7: Quality assurance in particle therapy with PET. Chapter 8: Radioactive beams for ion therapy: Monte Carlo simulations and experimental verifications. Chapter 9: Monte Carlo and Microdosimetry in particle radiotherapy. Chapter 10: Monte Carlo to link RBE with radiation quality quantities. Chapter 11: Physical and Biological Impact of Projectile and Target Fragmentation. Chapter 12: Monte Carlo characterisation of nanoparticle radio-enhancement for hadron therapy. Chapter 13: Increasing particle therapy biological effectiveness by nuclear reaction-driven binary strategies. Chapter 14: Monte Carlo simulations for Targeted Alpha Therapy. Chapter 15: Experimental and modelling challenges in FLASH radiotherapy with Monte Carlo Methods. Chapter 16: Towards Multiple Ion Applications in Particle Therapy. Chapter 17: Monte Carlo for chemistry in radiation biology. Chapter 18: Recent developments in the TRAX particle track structure code. Chapter 19: Machine Learning for Monte Carlo Simulations. Chapter 20: Speed-up MC in charged particle applications. Chapter 21: Monte Carlo and Analytical codes for Dose planning and recalculation: limits and differential advantages.