SU-C-206-04: Region-Specific Total-Variation Regularization for X-Ray CT Reconstruction

2016 ◽  
Vol 43 (6Part3) ◽  
pp. 3327-3327
Author(s):  
Q Xu ◽  
H Han ◽  
L Xing
Keyword(s):  
Total Variation ◽  
Total Variation Regularization ◽  
Ct Reconstruction ◽  
X Ray

scholarly journals Low-dose CT reconstruction via edge-preserving total variation regularization

2011 ◽  
Vol 56 (18) ◽  
pp. 5949-5967 ◽  
Author(s):  
Zhen Tian ◽  
Xun Jia ◽  
Kehong Yuan ◽  
Tinsu Pan ◽  
Steve B Jiang
Keyword(s):  
Total Variation ◽  
Low Dose ◽  
Total Variation Regularization ◽  
Ct Reconstruction ◽  
Edge Preserving ◽  
Low Dose Ct

scholarly journals Multidirectional Anisotropic Total Variation and Its Application in the Tomography of the Surrounding Rock of Coal Mining Faces

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Bo Chen ◽  
Guowei Zhu ◽  
Zhenqiang Yang
Keyword(s):  
Coal Mining ◽  
Total Variation ◽  
Regularization Method ◽  
Surrounding Rock ◽  
Total Variation Regularization ◽  
Ct Reconstruction ◽  
Traveltime Tomography ◽  
Transmitted Waves ◽  
Mining Face ◽  
Anisotropic Total Variation

The computed tomography (CT) reconstruction algorithm is one of the crucial components of the CT system. To date, total variation (TV) has been widely used in CT reconstruction algorithms. Although TV utilizes the a priori information of the longitudinal and lateral gradient sparsity of an image, it introduces some staircase artifacts. To overcome the current limitations of TV and improve imaging quality, we propose a multidirectional anisotropic total variation (MATV) that uses multidirectional gradient information. The surrounding rock of coal mining faces uses principles of tomography similar to those of medical X-rays. The velocity distribution for the surrounding rock can be obtained by the first-arrival traveltime tomography of the transmitted waves in the coal mining face. Combined with the geological data, we can interpret the geological hazards in the coal mining face. To perform traveltime tomography, we first established the objective function of the first-arrival traveltime tomography of the transmitted waves based on the MATV regularization and then used the split Bregman method to solve the objective function. The simulated data and real data show that the MATV regularization method proposed in this paper can better maintain the boundaries of geological anomalies and reduce the artifacts compared with the isotropic total variation regularization method and the anisotropic total variation regularization method. Furthermore, this approach describes the distribution of geological anomalies more accurately and effectively and improves imaging accuracy.

scholarly journals NUFFT-Based Iterative Image Reconstruction via Alternating Direction Total Variation Minimization for Sparse-View CT

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Bin Yan ◽  
Zhao Jin ◽  
Hanming Zhang ◽  
Lei Li ◽  
Ailong Cai
Keyword(s):  
Image Reconstruction ◽  
Total Variation ◽  
Imaging System ◽  
Reconstruction Technique ◽  
Ct Reconstruction ◽  
Time Duration ◽  
Total Variation Minimization ◽  
Scanning Method ◽  
X Ray ◽  
Alternating Direction

Sparse-view imaging is a promising scanning method which can reduce the radiation dose in X-ray computed tomography (CT). Reconstruction algorithm for sparse-view imaging system is of significant importance. The adoption of the spatial iterative algorithm for CT image reconstruction has a low operation efficiency and high computation requirement. A novel Fourier-based iterative reconstruction technique that utilizes nonuniform fast Fourier transform is presented in this study along with the advanced total variation (TV) regularization for sparse-view CT. Combined with the alternating direction method, the proposed approach shows excellent efficiency and rapid convergence property. Numerical simulations and real data experiments are performed on a parallel beam CT. Experimental results validate that the proposed method has higher computational efficiency and better reconstruction quality than the conventional algorithms, such as simultaneous algebraic reconstruction technique using TV method and the alternating direction total variation minimization approach, with the same time duration. The proposed method appears to have extensive applications in X-ray CT imaging.

High quality 4D cone-beam CT reconstruction using motion-compensated total variation regularization

2017 ◽  
Vol 62 (8) ◽  
pp. 3313-3329 ◽  
Author(s):  
Hua Zhang ◽  
Jianhua Ma ◽  
Zhaoying Bian ◽  
Dong Zeng ◽  
Qianjin Feng ◽  
...  
Keyword(s):  
Total Variation ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
Total Variation Regularization ◽  
Ct Reconstruction ◽  
High Quality
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