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Edge‐detection of the radiation field in double exposure portal images using a curve propagation algorithm
An accurate detection of the radiation field is crucial to 3D conformal radiotherapy (3D‐CRT). Automated techniques to detect the field edges on double exposure portal images have previously focused on thresholding techniques. In this paper, we present a new approach based on a curve propagation tec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722364/ https://www.ncbi.nlm.nih.gov/pubmed/19020476 http://dx.doi.org/10.1120/jacmp.v9i4.2710 |
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author | Lasserre, Patricia Cutt, Bryce Moffat, James |
author_facet | Lasserre, Patricia Cutt, Bryce Moffat, James |
author_sort | Lasserre, Patricia |
collection | PubMed |
description | An accurate detection of the radiation field is crucial to 3D conformal radiotherapy (3D‐CRT). Automated techniques to detect the field edges on double exposure portal images have previously focused on thresholding techniques. In this paper, we present a new approach based on a curve propagation technique (the Fast Marching method) which proves to be more effective at detecting the radiation field than its thresholding counterpart. The comparison of both techniques in terms of computational speed and effectiveness of the detection is presented using complex images with non‐homogeneous intensity levels inside the radiation field, and gradual variations in intensity level at the field boundaries. Results show that our Fast Marching method is easier to automate, and converges faster to the boundaries of the segmented radiation field. The computation time of the Fast Marching technique is five times faster in typical portal images. PACS numbers: 87.53.Oq, 87.57.Nk, 87.57.‐s. |
format | Online Article Text |
id | pubmed-5722364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57223642018-04-02 Edge‐detection of the radiation field in double exposure portal images using a curve propagation algorithm Lasserre, Patricia Cutt, Bryce Moffat, James J Appl Clin Med Phys Radiation Oncology Physics An accurate detection of the radiation field is crucial to 3D conformal radiotherapy (3D‐CRT). Automated techniques to detect the field edges on double exposure portal images have previously focused on thresholding techniques. In this paper, we present a new approach based on a curve propagation technique (the Fast Marching method) which proves to be more effective at detecting the radiation field than its thresholding counterpart. The comparison of both techniques in terms of computational speed and effectiveness of the detection is presented using complex images with non‐homogeneous intensity levels inside the radiation field, and gradual variations in intensity level at the field boundaries. Results show that our Fast Marching method is easier to automate, and converges faster to the boundaries of the segmented radiation field. The computation time of the Fast Marching technique is five times faster in typical portal images. PACS numbers: 87.53.Oq, 87.57.Nk, 87.57.‐s. John Wiley and Sons Inc. 2008-07-02 /pmc/articles/PMC5722364/ /pubmed/19020476 http://dx.doi.org/10.1120/jacmp.v9i4.2710 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 Lasserre, Patricia Cutt, Bryce Moffat, James Edge‐detection of the radiation field in double exposure portal images using a curve propagation algorithm |
title | Edge‐detection of the radiation field in double exposure portal images using a curve propagation algorithm |
title_full | Edge‐detection of the radiation field in double exposure portal images using a curve propagation algorithm |
title_fullStr | Edge‐detection of the radiation field in double exposure portal images using a curve propagation algorithm |
title_full_unstemmed | Edge‐detection of the radiation field in double exposure portal images using a curve propagation algorithm |
title_short | Edge‐detection of the radiation field in double exposure portal images using a curve propagation algorithm |
title_sort | edge‐detection of the radiation field in double exposure portal images using a curve propagation algorithm |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722364/ https://www.ncbi.nlm.nih.gov/pubmed/19020476 http://dx.doi.org/10.1120/jacmp.v9i4.2710 |
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