Quantifying Uncertainties for Prostate Image-Guided Radiotherapy: A 3D Organ Reconstruction and Registration Method
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Other documents of the author: Gual-Arnau, Ximo; Masó, Rubén; Lliso, Françoise; López Tarjuelo, Juan
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comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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Title
Quantifying Uncertainties for Prostate Image-Guided Radiotherapy: A 3D Organ Reconstruction and Registration MethodDate
2009Publisher
Bentham Science PublishersISSN
1874-3471Bibliographic citation
GUAL ARNAU, Ximo, et al. Quantifying Uncertainties for Prostate Image-Guided Radiotherapy: A 3D Organ Reconstruction and Registration Method. Open Medical Imaging Journal, 2009, v. 3, p. 1-5Type
info:eu-repo/semantics/articlePublisher version
https://benthamopen.com/contents/pdf/TOMIJ/TOMIJ-3-1.pdfVersion
info:eu-repo/semantics/publishedVersionSubject
Abstract
The purpose of this paper is to present a method for volumetric reconstruction, registration and margin assignation
applicable to both conventional CT scans and on board CT imaging. This method does not depend on the ... [+]
The purpose of this paper is to present a method for volumetric reconstruction, registration and margin assignation
applicable to both conventional CT scans and on board CT imaging. This method does not depend on the shape of the
organs, the bony anatomy or the use of markers, and we apply it to prostate and bladder. 3D reconstructions are performed
by means of spline surfaces and the 3D reconstructed surfaces are registered to a planning surface, using a multidimensional
alignment from the Euclidean distance transform and the Levenberg-Marquardt optimization algorithm. Once the
reconstructed surfaces are registered, we define a mean surface and obtain the corresponding variances from this mean
surface. The method works properly and demonstrates that once translations are insulated by registration, residual uncertainties
can be handled with the margin assigned for delineation variation and organ deformation [-]
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Open Medical Imaging Journal, 2009, v. 3Rights
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