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Verfasst von:Hardt, Jennifer [VerfasserIn]   i
 Pryanichnikov, Alexander A. [VerfasserIn]   i
 Homolka, Noa [VerfasserIn]   i
 DeJongh, Ethan A. [VerfasserIn]   i
 DeJongh, Don F. [VerfasserIn]   i
 Cristoforetti, Remo [VerfasserIn]   i
 Jäkel, Oliver [VerfasserIn]   i
 Seco, Joao [VerfasserIn]   i
 Wahl, Niklas [VerfasserIn]   i
Titel:The potential of mixed carbon-helium beams for online treatment verification
Titelzusatz:a simulation and treatment planning study
Verf.angabe:Jennifer J. Hardt, Alexander A. Pryanichnikov, Noa Homolka, Ethan A. DeJongh, Don F. DeJongh, Remo Cristoforetti, Oliver Jäkel, Joao Seco and Niklas Wahl
E-Jahr:2024
Jahr:17 June 2024
Umfang:15 S.
Illustrationen:Illustrationen
Fussnoten:Gesehen am 25.11.2024
Titel Quelle:Enthalten in: Physics in medicine and biology
Ort Quelle:Bristol : IOP Publ., 1956
Jahr Quelle:2024
Band/Heft Quelle:69(2024), 12, Artikel-ID 125028, Seite 1-15
ISSN Quelle:1361-6560
Abstract:Objective. Recently, a new and promising approach for range verification was proposed. This method requires the use of two different ion species. Due to their equal magnetic rigidity, fully ionized carbon and helium ions can be simultaneously accelerated in accelerators like synchrotrons. At sufficiently high treatment energies, helium ions can exit the patient distally, reaching approximately three times the range of carbon ions at an equal energy per nucleon. Therefore, the proposal involves adding a small helium fluence to the carbon ion beam and utilizing helium as an online range probe during radiation therapy. This work aims to develop a software framework for treatment planning and motion verification in range-guided radiation therapy using mixed carbon-helium beams. Approach. The developed framework is based on the open-source treatment planning toolkit matRad. Dose distributions and helium radiographs were simulated using the open-source Monte Carlo package TOPAS. Beam delivery system parameters were obtained from the Heidelberg Ion Therapy Center, and imaging detectors along with reconstruction were facilitated by ProtonVDA. Methods for reconstructing the most likely patient positioning error scenarios and the motion phase of 4DCT are presented for prostate and lung cancer sites. Main results. The developed framework provides the capability to calculate and optimize treatment plans for mixed carbon-helium ion therapy. It can simulate the treatment process and generate helium radiographs for simulated patient geometry, including small beam views. Furthermore, motion reconstruction based on these radiographs seems possible with preliminary validation. Significance. The developed framework can be applied for further experimental work with the promising mixed carbon-helium ion implementation of range-guided radiotherapy. It offers opportunities for adaptation in particle therapy, improving dose accumulation, and enabling patient anatomy reconstruction during radiotherapy.
DOI:doi:10.1088/1361-6560/ad46db
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1088/1361-6560/ad46db
 Volltext: https://dx.doi.org/10.1088/1361-6560/ad46db
 DOI: https://doi.org/10.1088/1361-6560/ad46db
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1909431184
Verknüpfungen:→ Zeitschrift

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