Marcatili, S., Pettinato, C., Daniels, Stephen, Lewis, G., Edwards, Peter ![]() ![]() |
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 |
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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: | 28 Oct 2022 08:54 |
URI: | https://orca.cardiff.ac.uk/id/eprint/72538 |
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