Quantifying Uncertainties for Prostate Image-Guided Radiotherapy: A 3D Organ Reconstruction and Registration Method
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Otros documentos de la autoría: Gual-Arnau, Ximo; Masó, Rubén; Lliso, Françoise; López Tarjuelo, Juan
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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INVESTIGACIONMetadatos
Título
Quantifying Uncertainties for Prostate Image-Guided Radiotherapy: A 3D Organ Reconstruction and Registration MethodFecha de publicación
2009Editor
Bentham Science PublishersISSN
1874-3471Cita bibliográfica
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. 1-5Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://benthamopen.com/contents/pdf/TOMIJ/TOMIJ-3-1.pdfVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
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 [-]
Publicado en
Open Medical Imaging Journal, 2009, v. 3Derechos de acceso
© Bentham Science Publishers
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info:eu-repo/semantics/openAccess
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