Low dose cone-beam computed tomography reconstruction via hybrid prior contour based total variation regularization (hybrid-PCTV)

Yingxuan Chen; Fang-Fang Yin; Yawei Zhang; You Zhang; Lei Ren

doi:10.21037/qims.2019.06.02

Low dose cone-beam computed tomography reconstruction via hybrid prior contour based total variation regularization (hybrid-PCTV)

Quantitative Imaging in Medicine and Surgery ◽

10.21037/qims.2019.06.02 ◽

2019 ◽

Vol 9 (7) ◽

pp. 1214-1228

Author(s):

Yingxuan Chen ◽

Fang-Fang Yin ◽

Yawei Zhang ◽

You Zhang ◽

Lei Ren

Keyword(s):

Computed Tomography ◽

Total Variation ◽

Cone Beam Computed Tomography ◽

Low Dose ◽

Cone Beam ◽

Total Variation Regularization ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction

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WE-A-301-09: Fast, Iterative, Low-Dose, Cone-Beam Computed Tomography Reconstruction Using a Gradient Projection Algorithm

Medical Physics ◽

10.1118/1.3613293 ◽

2011 ◽

Vol 38 (6Part31) ◽

pp. 3797-3798

Author(s):

J Park ◽

B Song ◽

J Kim ◽

S Park ◽

H Kim ◽

...

Keyword(s):

Computed Tomography ◽

Cone Beam Computed Tomography ◽

Low Dose ◽

Gradient Projection ◽

Projection Algorithm ◽

Cone Beam ◽

Gradient Projection Algorithm ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction

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LBP-based penalized weighted least-squares approach to low-dose cone-beam computed tomography reconstruction

10.1117/12.2043289 ◽

2014 ◽

Author(s):

Ming Ma ◽

Huafeng Wang ◽

Yan Liu ◽

Hao Zhang ◽

Xianfeng Gu ◽

...

Keyword(s):

Computed Tomography ◽

Least Squares ◽

Cone Beam Computed Tomography ◽

Low Dose ◽

Weighted Least Squares ◽

Cone Beam ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction ◽

Least Squares Approach

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Feasibility study for 3D cone-beam computed tomography reconstruction with few projection data using MLEM algorithm with total variation minimization

IFMBE Proceedings - World Congress on Medical Physics and Biomedical Engineering, June 7-12, 2015, Toronto, Canada ◽

10.1007/978-3-319-19387-8_17 ◽

2015 ◽

pp. 66-69 ◽

Cited By ~ 1

Author(s):

D. H. Lee ◽

Y. S. Kim ◽

S. H. Choi ◽

H. H. Lee ◽

H. J. Kim

Keyword(s):

Computed Tomography ◽

Total Variation ◽

Feasibility Study ◽

Cone Beam Computed Tomography ◽

Cone Beam ◽

Projection Data ◽

Total Variation Minimization ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction

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Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm

SIAM Journal on Imaging Sciences ◽

10.1137/17m1123237 ◽

2018 ◽

Vol 11 (2) ◽

pp. 1205-1229 ◽

Cited By ~ 5

Author(s):

Bin Li ◽

Chenyang Shen ◽

Yujie Chi ◽

Ming Yang ◽

Yifei Lou ◽

...

Keyword(s):

Computed Tomography ◽

Cone Beam Computed Tomography ◽

Cone Beam ◽

Nonlocal Means ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction

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Cone-beam computed tomography reconstruction accelerated with CUDA

2011 4th International Conference on Biomedical Engineering and Informatics (BMEI) ◽

10.1109/bmei.2011.6098310 ◽

2011 ◽

Cited By ~ 1

Author(s):

Dayu Xiao ◽

Yuhua Chen ◽

Beibei Qian ◽

Le Yang ◽

Yan Kang

Keyword(s):

Computed Tomography ◽

Cone Beam Computed Tomography ◽

Cone Beam ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction

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Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction

Medical Imaging 2019: Image Processing ◽

10.1117/12.2512980 ◽

2019 ◽

Cited By ~ 1

Author(s):

Frederic Madesta ◽

Tobias Gauer ◽

Thilo Sentker ◽

René Werner

Keyword(s):

Computed Tomography ◽

Deep Learning ◽

Cone Beam Computed Tomography ◽

Cone Beam ◽

Self Consistent ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction

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Multi-energy computed tomography reconstruction using an average image induced low-rank tensor decomposition with spatial-spectral total variation regularization

15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine ◽

10.1117/12.2534802 ◽

2019 ◽

Cited By ~ 1

Author(s):

Lisha Yao ◽

Dong Zeng ◽

Sui Li ◽

Zhaoying Bian ◽

Jianhua Ma

Keyword(s):

Computed Tomography ◽

Total Variation ◽

Tensor Decomposition ◽

Low Rank ◽

Total Variation Regularization ◽

Rank Tensor ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction ◽

Average Image

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PD-0143: 4D cone-beam computed tomography combining total variation regularization and motion compensation

Radiotherapy and Oncology ◽

10.1016/s0167-8140(15)40141-0 ◽

2015 ◽

Vol 115 ◽

pp. S68-S69

Author(s):

C. Mory ◽

S. Rit

Keyword(s):

Computed Tomography ◽

Total Variation ◽

Cone Beam Computed Tomography ◽

Motion Compensation ◽

Cone Beam ◽

Total Variation Regularization

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A Biomechanical Modeling Guided Cone Beam Computed Tomography Reconstruction Technique

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2016.06.248 ◽

2016 ◽

Vol 96 (2) ◽

pp. S99-S100

Author(s):

Y. Zhang ◽

J.N. Tehrani ◽

J. Wang

Keyword(s):

Computed Tomography ◽

Cone Beam Computed Tomography ◽

Cone Beam ◽

Biomechanical Modeling ◽

Reconstruction Technique ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction

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PO-0917: non-isocentric cone-beam computed tomography reconstruction and artifact suppression

Radiotherapy and Oncology ◽

10.1016/s0167-8140(15)31035-5 ◽

2014 ◽

Vol 111 ◽

pp. S113-S114

Author(s):

P. Keuschnigg ◽

H. Deutschmann ◽

H. Weichenberger ◽

F. Sedlmayer ◽

P. Steininger

Keyword(s):

Computed Tomography ◽

Cone Beam Computed Tomography ◽

Cone Beam ◽

Artifact Suppression ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction

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