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Application of distance transformation on parameter optimization of inverse planning in intensity‐modulated radiation therapy

In inverse planning for intensity‐modulated radiation therapy (IMRT), the dose specification and related weighting factor of an objective function for involved organs is usually predefined by a single value and then iteratively optimized, subject to a set of dose—volume constraints. Because the actu...

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Autores principales: Yan, Hui, Yin, Fang‐Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5721705/
https://www.ncbi.nlm.nih.gov/pubmed/18714279
http://dx.doi.org/10.1120/jacmp.v9i2.2750
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author Yan, Hui
Yin, Fang‐Fang
author_facet Yan, Hui
Yin, Fang‐Fang
author_sort Yan, Hui
collection PubMed
description In inverse planning for intensity‐modulated radiation therapy (IMRT), the dose specification and related weighting factor of an objective function for involved organs is usually predefined by a single value and then iteratively optimized, subject to a set of dose—volume constraints. Because the actual dose distribution is essentially non‐uniform and considerably affected by the geometric shape and distribution of the anatomic structures involved, the spatial information regarding those structures should be incorporated such that the predefined parameter distribution is made to approach the clinically expected distribution. Ideally, these parameter distributions should be predefined on a voxel basis in a manual method. However, such an approach is too time‐consuming to be feasible in routine use. Use distance transformation technique to calculate the distance distribution of the structures. Based on the distance distribution, produce the parameter distribution via a conversion function guided by prior knowledge. We use two simulated cases to examine the effectiveness of the method. The results indicate that application of a non‐uniform parameter distribution produced by distance transformation clearly improves dose‐sparing of critical organs without compromising dose coverage of the planning target. PACS numbers: 87.53.Jw
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spelling pubmed-57217052018-04-02 Application of distance transformation on parameter optimization of inverse planning in intensity‐modulated radiation therapy Yan, Hui Yin, Fang‐Fang J Appl Clin Med Phys Radiation Oncology Physics In inverse planning for intensity‐modulated radiation therapy (IMRT), the dose specification and related weighting factor of an objective function for involved organs is usually predefined by a single value and then iteratively optimized, subject to a set of dose—volume constraints. Because the actual dose distribution is essentially non‐uniform and considerably affected by the geometric shape and distribution of the anatomic structures involved, the spatial information regarding those structures should be incorporated such that the predefined parameter distribution is made to approach the clinically expected distribution. Ideally, these parameter distributions should be predefined on a voxel basis in a manual method. However, such an approach is too time‐consuming to be feasible in routine use. Use distance transformation technique to calculate the distance distribution of the structures. Based on the distance distribution, produce the parameter distribution via a conversion function guided by prior knowledge. We use two simulated cases to examine the effectiveness of the method. The results indicate that application of a non‐uniform parameter distribution produced by distance transformation clearly improves dose‐sparing of critical organs without compromising dose coverage of the planning target. PACS numbers: 87.53.Jw John Wiley and Sons Inc. 2008-04-16 /pmc/articles/PMC5721705/ /pubmed/18714279 http://dx.doi.org/10.1120/jacmp.v9i2.2750 Text en © 2008 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Yan, Hui
Yin, Fang‐Fang
Application of distance transformation on parameter optimization of inverse planning in intensity‐modulated radiation therapy
title Application of distance transformation on parameter optimization of inverse planning in intensity‐modulated radiation therapy
title_full Application of distance transformation on parameter optimization of inverse planning in intensity‐modulated radiation therapy
title_fullStr Application of distance transformation on parameter optimization of inverse planning in intensity‐modulated radiation therapy
title_full_unstemmed Application of distance transformation on parameter optimization of inverse planning in intensity‐modulated radiation therapy
title_short Application of distance transformation on parameter optimization of inverse planning in intensity‐modulated radiation therapy
title_sort application of distance transformation on parameter optimization of inverse planning in intensity‐modulated radiation therapy
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5721705/
https://www.ncbi.nlm.nih.gov/pubmed/18714279
http://dx.doi.org/10.1120/jacmp.v9i2.2750
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