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Development and validation of RAYDOSE: a Geant4-based application for molecular radiotherapy

Marcatili, S., Pettinato, C., Daniels, Stephen, Lewis, G., Edwards, Peter, Fanti, S. and Spezi, Emiliano 2013. Development and validation of RAYDOSE: a Geant4-based application for molecular radiotherapy. Physics in Medicine and Biology 58 (8) , pp. 2491-2508. 10.1088/0031-9155/58/8/2491

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Abstract

We developed and validated a Monte-Carlo-based application (RAYDOSE) to generate patient-specific 3D dose maps on the basis of pre-treatment imaging studies. A CT DICOM image is used to model patient geometry, while repeated PET scans are employed to assess radionuclide kinetics and distribution at the voxel level. In this work, we describe the structure of this application and present the tests performed to validate it against reference data and experiments. We used the spheres of a NEMA phantom to calculate S values and total doses. The comparison with reference data from OLINDA/EXM showed an agreement within 2% for a sphere size above 2.8 cm diameter. A custom heterogeneous phantom composed of several layers of Perspex and lung equivalent material was used to compare TLD measurements of gamma radiation from 131I to Monte Carlo simulations. An agreement within 5% was found. RAYDOSE has been validated against reference data and experimental measurements and can be a useful multi-modality platform for treatment planning and research in MRT.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Advanced Research Computing @ Cardiff (ARCCA)
Chemistry
Engineering
Medicine
Subjects: R Medicine > R Medicine (General)
R Medicine > RC Internal medicine
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: Humans; Imaging, Three-Dimensional; Individualized Medicine; Monte Carlo Method; Phantoms, Imaging; Radiotherapy Dosage; Radiotherapy Planning, Computer-Assisted
Publisher: Institute of Physics
ISSN: 0031-9155
Date of Acceptance: 18 November 2012
Last Modified: 04 Mar 2019 17:47
URI: http://orca.cf.ac.uk/id/eprint/72538

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