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Fully Automatic Spinal Canal Segmentation for Radiation Therapy Using a Gradient Vector Flow-Based Method on Computed Tomography Images: A Preliminary Study

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Fully Automatic Spinal Canal Segmentation for Radiation Therapy Using a Gradient Vector Flow-Based Method on Computed Tomography Images: A Preliminary Study

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Díaz Parra, A.; Arana Fernandez De Moya, E.; Moratal Pérez, D. (2014). Fully Automatic Spinal Canal Segmentation for Radiation Therapy Using a Gradient Vector Flow-Based Method on Computed Tomography Images: A Preliminary Study. IEEE Engineering in Medicine and Biology Society. Conference Proceedings. 2014:5518-5521. doi:10.1109/EMBC.2014.6944876

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/84844

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Title: Fully Automatic Spinal Canal Segmentation for Radiation Therapy Using a Gradient Vector Flow-Based Method on Computed Tomography Images: A Preliminary Study
Author:
UPV Unit: Universitat Politècnica de València. Centro de Biomateriales e Ingeniería Tisular - Centre de Biomaterials i Enginyeria Tissular
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
Nowadays, radiotherapy is one of the key techniques for localized cancer treatment. Accurate identification of target volume (TV) and organs at risk (OAR) is a crucial step to therapy success. Spinal cord is one of the ...[+]
Subjects: CT IMAGES , RISK
Copyrigths: Cerrado
Source:
IEEE Engineering in Medicine and Biology Society. Conference Proceedings. (issn: 1557-170X )
DOI: 10.1109/EMBC.2014.6944876
Publisher version: http://doi.org/10.1109/EMBC.2014.6944876
Type: Artículo

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