scholarly journals Cone-beam breast computed tomography using ultra-fast image reconstruction with constrained, total-variation minimization for suppression of artifacts

2020 ◽  
Vol 73 ◽  
pp. 117-124 ◽  
Author(s):  
Hsin Wu Tseng ◽  
Srinivasan Vedantham ◽  
Andrew Karellas
Keyword(s):  
Computed Tomography ◽  
Image Reconstruction ◽  
Total Variation ◽  
Cone Beam ◽  
Total Variation Minimization ◽  
Breast Computed Tomography

scholarly journals Distributed Reconstruction via Alternating Direction Method

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Linyuan Wang ◽  
Ailong Cai ◽  
Hanming Zhang ◽  
Bin Yan ◽  
Lei Li ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Image Reconstruction ◽  
Total Variation ◽  
Reconstruction Algorithm ◽  
Alternating Direction Method ◽  
Ct Image ◽  
Total Variation Minimization ◽  
Considerable Research ◽  
Alternating Direction ◽  
Ct Image Reconstruction

With the development of compressive sensing theory, image reconstruction from few-view projections has received considerable research attentions in the field of computed tomography (CT). Total-variation- (TV-) based CT image reconstruction has been shown to be experimentally capable of producing accurate reconstructions from sparse-view data. In this study, a distributed reconstruction algorithm based on TV minimization has been developed. This algorithm is very simple as it uses the alternating direction method. The proposed method can accelerate the alternating direction total variation minimization (ADTVM) algorithm without losing accuracy.

scholarly journals Semisoft Generalized Total Variation Minimization for Image Reconstruction in Computed Tomography

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 8475-8481 ◽  
Author(s):  
Xiezhang Li ◽  
Fangjun Arroyo ◽  
Jiehua Zhu ◽  
Jianing Sun
Keyword(s):  
Computed Tomography ◽  
Image Reconstruction ◽  
Total Variation ◽  
Total Variation Minimization
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