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QR-Factorization Algorithm for Computed Tomography (CT): Comparison With FDK and Conjugate Gradient (CG) Algorithms

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QR-Factorization Algorithm for Computed Tomography (CT): Comparison With FDK and Conjugate Gradient (CG) Algorithms

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Rodríguez-Álvarez, M.; Sánchez, F.; Soriano Asensi, A.; Moliner Martínez, L.; Sánchez Góez, S.; Benlloch Baviera, JM. (2018). QR-Factorization Algorithm for Computed Tomography (CT): Comparison With FDK and Conjugate Gradient (CG) Algorithms. IEEE Transactions on Radiation and Plasma Medical Sciences. 2(5):459-469. https://doi.org/10.1109/TRPMS.2018.2843803

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/123290

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Title: QR-Factorization Algorithm for Computed Tomography (CT): Comparison With FDK and Conjugate Gradient (CG) Algorithms
Author: Rodríguez-Álvarez, MJ Sánchez, F. Soriano Asensi, Antonio Moliner Martínez, Laura Sánchez Góez, Sebastián Benlloch Baviera, Jose María
UPV Unit: Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular
Issued date:
Abstract:
[EN] Even though QR-factorization of the system matrix for tomographic devices has been already used for medical imaging, to date, no satisfactory solution has been found for solving large linear systems, such as those ...[+]
Subjects: 3-D images reconstruction , Computed tomography (CT) , Conjugate gradient (CG) , Feldkamp , Davis, and Kress (FDK) , Medical imaging , QR-factorization algorithm , Reconstruction algorithms , Reconstruction toolkit (RTK)
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Radiation and Plasma Medical Sciences. (issn: 2469-7311 )
DOI: 10.1109/TRPMS.2018.2843803
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: http://doi.org/10.1109/TRPMS.2018.2843803
Project ID:
MICINNTEC2016-79884-C2-1-R
AEI/RTC-2016-5186-1
Thanks:
This work was supported by the Spanish Government under Grant TEC2016-79884-C2 and Grant RTC-2016-5186-1.
Type: Artículo

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