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author:

Zhang, Shu (Zhang, Shu.) [1] | Xia, Youshen (Xia, Youshen.) [2]

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EI

Abstract:

With the application of computed tomography (CT) technology to the clinic diagnosis and image-guided surgeries, various CT image reconstruction algorithms were presented for enhancing CT image quality based on different dose acquisitions. For wide and effective uses, this paper is going to provide a comprehensive survey on representative CT image reconstruction algorithms, in the light of low-dose and high-dose acquisitions and algorithm performance, including their merits and limitations. The algorithm performance and complexity are discussed under Gaussian and Poisson noise environments, respectively. Finally, experimental results analyze the efficiency and performance of several popular CT image reconstruction algorithms in terms of computation time and accuracy. © 2019 John Wiley & Sons, Ltd.

Keyword:

Computational complexity Computational efficiency Computerized tomography Image enhancement Image reconstruction Iterative methods Surveys

Community:

  • [ 1 ] [Zhang, Shu]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Zhang, Shu]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 3 ] [Xia, Youshen]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

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ISSN: 1532-0626

Year: 2021

Issue: 8

Volume: 33

Language: English

1 . 8 3 1

JCR@2021

1 . 5 0 0

JCR@2023

ESI HC Threshold:106

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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