Conversion of CT numbers into tissue parameters for Monte Carlo dose calculations: a multi-centre study

Vanderstraeten, Barbara; Chin, Pik Wai; Fix, Michael; Leal, Antonio; Mora, Grisel; Reynaert, Nick; Seco, Joao; Soukup, Martin; Spezi, Emiliano; De Neve, Wilfried; Thierens, Hubert (2007). Conversion of CT numbers into tissue parameters for Monte Carlo dose calculations: a multi-centre study. Physics in medicine and biology, 52(3), pp. 539-62. Bristol: Institute of Physics Publishing IOP 10.1088/0031-9155/52/3/001

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The conversion of computed tomography (CT) numbers into material composition and mass density data influences the accuracy of patient dose calculations in Monte Carlo treatment planning (MCTP). The aim of our work was to develop a CT conversion scheme by performing a stoichiometric CT calibration. Fourteen dosimetrically equivalent tissue subsets (bins), of which ten bone bins, were created. After validating the proposed CT conversion scheme on phantoms, it was compared to a conventional five bin scheme with only one bone bin. This resulted in dose distributions D(14) and D(5) for nine clinical patient cases in a European multi-centre study. The observed local relative differences in dose to medium were mostly smaller than 5%. The dose-volume histograms of both targets and organs at risk were comparable, although within bony structures D(14) was found to be slightly but systematically higher than D(5). Converting dose to medium to dose to water (D(14) to D(14wat) and D(5) to D(5wat)) resulted in larger local differences as D(5wat) became up to 10% higher than D(14wat). In conclusion, multiple bone bins need to be introduced when Monte Carlo (MC) calculations of patient dose distributions are converted to dose to water.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology > Medical Radiation Physics

UniBE Contributor:

Fix, Michael

ISSN:

0031-9155

ISBN:

17228104

Publisher:

Institute of Physics Publishing IOP

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:56

Last Modified:

04 May 2014 23:16

Publisher DOI:

10.1088/0031-9155/52/3/001

PubMed ID:

17228104

Web of Science ID:

000243684600001

URI:

https://boris.unibe.ch/id/eprint/24110 (FactScience: 47000)

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