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

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 used in computed tomography (CT) (in the order of <inline-formula> <tex-math...

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Vydané v:	IEEE transactions on radiation and plasma medical sciences Ročník 2; číslo 5; s. 459 - 469
Hlavní autori:	Rodriguez-Alvarez, Maria Jose, Sanchez, Filomeno, Soriano, Antonio, Moliner, Laura, Sanchez, Sebastian, Benlloch, Jose
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.09.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	3-D images reconstruction Algorithms Biomedical imaging Computation Computed tomography computed tomography (CT) Computer applications conjugate gradient (CG) Conjugates Davis Detectors Factorization Feldkamp Image contrast Image processing Image quality Image reconstruction Iterative methods Kress (FDK) Linear systems Mathematical analysis Mathematical model Matrices Matrix algebra Matrix methods Medical imaging Noise QR-factorization algorithm Quality assessment Quality control reconstruction algorithms reconstruction toolkit (RTK) Sharpness Tomography
ISSN:	2469-7311, 2469-7303
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