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Dose painting by means of Monte Carlo treatment planning at the voxel level
Stockholm University, Faculty of Science, Medical Radiation Physics (together with KI). Instituto de Biomedicina de Sevilla, Spain.
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Number of Authors: 8
2017 (English)In: Physica medica (Testo stampato), ISSN 1120-1797, E-ISSN 1724-191X, Vol. 42, 339-344 p.Article in journal (Refereed) Published
Abstract [en]

Purpose: To develop a new optimization algorithm to carry out true dose painting by numbers (DPBN) planning based on full Monte Carlo (MC) calculation.

Methods: Four configurations with different clustering of the voxel values from PET data were proposed. An optimization method at the voxel level under Lineal Programming (LP) formulation was used for an inverse planning and implemented in CARMEN, an in-house Monte Carlo treatment planning system.

Results: Beamlet solutions fulfilled the objectives and did not show significant differences between the different configurations. More differences were observed between the segment solutions. The plan for the dose prescription map without clustering was the better solution.

Conclusions: LP optimization at voxel level without dose-volume restrictions can carry out true DPBN planning with the MC accuracy.

Place, publisher, year, edition, pages
2017. Vol. 42, 339-344 p.
Keyword [en]
Dose painting by numbers, Dose painting by contour, Linear programming optimization, Monte Carlo dose calculation
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:su:diva-151012DOI: 10.1016/j.ejmp.2017.04.005ISI: 000416522000047PubMedID: 28412136OAI: oai:DiVA.org:su-151012DiVA: diva2:1172602
Available from: 2018-01-10 Created: 2018-01-10 Last updated: 2018-01-10Bibliographically approved

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Ureba, AnaBarbeiro, A. R.
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