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Book Cover
E-book
Author Cirrone, Pablo

Title Monte Carlo in Heavy Charged Particle Therapy New Challenges in Ion Therapy
Published Milton : Taylor & Francis Group, 2023

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Description 1 online resource (350 p.)
Series Series in Medical Physics and Biomedical Engineering Series
Series in Medical Physics and Biomedical Engineering Series
Contents Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- About the Series -- Preface -- The International Organization for Medical Physics -- Chapter 1: The Monte Carlo method and its application 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 hadronic processes in hadrontherapy
Chapter 6: Experimental data of nuclear fragmentation for validating Monte Carlo codes: 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 characterization 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 Monte Carlo in charged particle applications -- Chapter 21: Monte Carlo and analytical codes for dose planning and recalculation: limits and differential advantages -- Appendix: Chemical reactions -- Index
Notes Description based upon print version of record
Form Electronic book
Author Petringa, Giada
ISBN 9781000987614
1000987612