Title: Adapting inverse planning to patient and organ geometrical variation: algorithm and implementation
Abstract: Medical PhysicsVolume 30, Issue 10 p. 2822-2831 Radiation therapy physics Adapting inverse planning to patient and organ geometrical variation: algorithm and implementation M. Birkner, M. Birkner Abt. Medizinische Physik, Radioonkologische Uniklinik, Universität Tübingen, D-72076 Tübingen, GermanySearch for more papers by this authorD. Yan, D. Yan Radiation Oncology, William Beaumont Hospital, Royal Oak, Michigan 48073-6769Search for more papers by this authorM. Alber, M. Alber Abt. Medizinische Physik, Radioonkologische Uniklinik, Universität Tübingen, D-72076 Tübingen, GermanySearch for more papers by this authorJ. Liang, J. Liang Radiation Oncology, William Beaumont Hospital, Royal Oak, Michigan 48073-6769Search for more papers by this authorF. Nüsslin, F. Nüsslin Abt. Medizinische Physik, Radioonkologische Uniklinik, Universität Tübingen, D-72076 Tübingen, GermanySearch for more papers by this author M. Birkner, M. Birkner Abt. Medizinische Physik, Radioonkologische Uniklinik, Universität Tübingen, D-72076 Tübingen, GermanySearch for more papers by this authorD. Yan, D. Yan Radiation Oncology, William Beaumont Hospital, Royal Oak, Michigan 48073-6769Search for more papers by this authorM. Alber, M. Alber Abt. Medizinische Physik, Radioonkologische Uniklinik, Universität Tübingen, D-72076 Tübingen, GermanySearch for more papers by this authorJ. Liang, J. Liang Radiation Oncology, William Beaumont Hospital, Royal Oak, Michigan 48073-6769Search for more papers by this authorF. Nüsslin, F. Nüsslin Abt. Medizinische Physik, Radioonkologische Uniklinik, Universität Tübingen, D-72076 Tübingen, GermanySearch for more papers by this author First published: 26 September 2003 https://doi.org/10.1118/1.1610751Citations: 114AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract Image guided radiotherapy has the potential to improve both tumour control and normal tissue sparing by including temporal patient specific geometry information into the adaptive planning process. In this study we present a practical method of image guided adaptive inverse planning based on computed tomography (CT) and portal image feedback during the treatment course. The method is based on a general description of the radiotherapy optimization problem subject to dynamic geometrical variations of the patient/organs. We will demonstrate the feasibility of off-line image feedback into the inverse planning process with the example of three prostate cancer patients. CT and portal images acquired during the early course of the treatment are used to predict the geometrical variation distribution of a patient and to re-optimize the treatment plan accordingly. We will study the convergence of the optimization problem with respect to the number of image measurements and adaptive feedback loops. Citing Literature Volume30, Issue10October 2003Pages 2822-2831 RelatedInformation
Publication Year: 2003
Publication Date: 2003-09-26
Language: en
Type: article
Indexed In: ['crossref', 'pubmed']
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Cited By Count: 133
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