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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...

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Detalles Bibliográficos
Autores principales: Lasserre, Patricia, Cutt, Bryce, Moffat, James
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/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.
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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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AT moffatjames edgedetectionoftheradiationfieldindoubleexposureportalimagesusingacurvepropagationalgorithm