Monte Carlo in heavy charged particle therapy

• Titel: Monte Carlo in heavy charged particle therapy
• Titelzusatz: new challenges in ion therapy
• Mitwirkende: Cirrone, Pablo [HerausgeberIn]
• Mitwirkende: Petringa, Giada [HerausgeberIn]
• Verf.angabe: edited by Pablo Cirrone and Giada Petringa
• Ausgabe: First edition
• Verlagsort: Boca Raton ; London ; New York
• Verlag: CRC Press, Taylor & Francis Group
• Jahr: 2024
• Umfang: 1 Online-Ressource (xiii, 335 Seiten)
• Illustrationen: Illustrationen
• Gesamttitel/Reihe: Series in medical physics and biomedical engineering
• Fussnoten: Description based on publisher supplied metadata and other sources
• ISBN: 978-1-000-98761-4
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe: Monte Carlo in heavy charged particle therapy. - First edition. - Boca Raton, FL : CRC Press, 2024. - pages cm
• K10plus-PPN: 1876122307
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

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.