A Joint Row and Column Action Method for Cone-Beam Computed Tomography

The inversion of linear systems is fundamental in computed tomography (CT) reconstruction. Computational challenges arise when trying to invert large linear systems, as limited computing resources mean that only a part of the system can be kept in computer memory at any one time. In linear tomograph...

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Vydáno v:	IEEE transactions on computational imaging Ročník 4; číslo 4; s. 599 - 608
Hlavní autoři:	Yushan Gao, Blumensath, Thomas
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.12.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Artificial intelligence Attenuation coefficients Computation Computed tomography Computer memory Convex functions coordinate descent CT image reconstruction gradient descent Image reconstruction Information flow Iterative methods linear inverse problems Linear systems parallel computing Parallel processing Tomography
ISSN:	2573-0436, 2333-9403
On-line přístup:	Získat plný text
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