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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
Descripción
Sumario: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.