Intensity-modulated radiotherapy optimization in a quasi-periodically deforming patient model.
Purpose: To present the implementation of a probability-based, four-dimensional (4D) intensity-modulated radiotherapy (IMRT) planning approach that explicitly optimizes the accumulated dose to moving tissue, estimated using the patient's probability density function (pdf) of respiratory motion. This...
| Publicado en: | International Journal of Radiation Oncology, Biology, Physics Vol. 75; no. 3; pp. 906 - 915 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Pergamon Press - An Imprint of Elsevier Science
Nov2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105317950&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105317950 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03603016 1ZQ jtl: International Journal of Radiation Oncology, Biology, Physics issn: 03603016 maglogo: N pubinfo: dt: Nov2009 vid: 75 iid: 3 pid: 2410 pub: Pergamon Press - An Imprint of Elsevier Science artinfo: ui: 105317950 NLM19747782 2010428986 10.1016/j.ijrobp.2009.04.016 NLM19747782 105317950 ppf: 906 ppct: 9 formats: tig: atl: Intensity-modulated radiotherapy optimization in a quasi-periodically deforming patient model. aug: au: Söhn M Weinmann M Alber M Söhn, Matthias Weinmann, Martin Alber, Markus affil: Section for Biomedical Physics, University Hospital for Radiation Oncology, Hoppe-Seyler-Strasse 3, Tübingen, Germany sug: subj: Algorithms Lung Neoplasms Radiotherapy Movement Radiotherapy, Computer-Assisted Methods Radiotherapy, Conformal Methods Respiration Body Weights and Measures Image Processing, Computer Assisted Methods Lung Neoplasms Radiography Probability Radiation Dosage Systems Analysis Tomography, X-Ray Computed Human ab: Purpose: To present the implementation of a probability-based, four-dimensional (4D) intensity-modulated radiotherapy (IMRT) planning approach that explicitly optimizes the accumulated dose to moving tissue, estimated using the patient's probability density function (pdf) of respiratory motion. This is termed "optimization in tissue's-eye-view". Methods and Materials: The method incorporates 4D Monte Carlo dose calculation in multiple geometries of a respiratory-correlated CT dataset. The instance doses are weighted according to the breathing pdf and accumulated in a common reference geometry, which involves dose warping based on deformable registration. The algorithm produces deliverable multileaf collimator segments and was tested on a sample lung cancer patient dataset with large target excursion. Accumulated doses of the moving target and organs at risk of this plan were compared with those of corresponding margin-based static IMRT plans for free-breathing and gated treatment, as well as target tracking. Results: Target tracking provided best target coverage. Both the presented 4D IMRT approach for free-breathing treatment and gated treatment gave similar results for target coverage and lung dose, with significantly better target coverage than the margin-based static IMRT plan for free-breathing treatment. Conclusions: The presented 4D planning concept offers an alternative to gating by providing the optimal dose for free-breathing IMRT treatment. Although the focus of this study was 4D lung planning, the approach can be generally applied for IMRT optimization in randomly deforming patient models. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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