scholarly journals Experimental implementation of a joint statistical image reconstruction method for proton stopping power mapping from dual-energy CT data

2018 ◽  
Vol 46 (1) ◽  
pp. 273-285 ◽  
Author(s):  
Shuangyue Zhang ◽  
Dong Han ◽  
Jeffrey F. Williamson ◽  
Tianyu Zhao ◽  
David G. Politte ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Dual Energy ◽  
Stopping Power ◽  
Dual Energy Ct ◽  
Reconstruction Method ◽  
Statistical Image Reconstruction ◽  
Experimental Implementation ◽  
Image Reconstruction Method ◽  
Ct Data ◽  
Power Mapping

Image reconstruction method of dual energy CT for multilayer spherical shell with great density difference

2015 ◽  
Vol 27 (4) ◽  
pp. 44002
Author(s):  
夏惊涛 Xia Jingtao ◽  
王群书 Wang Qunshu ◽  
马继明 Ma Jiming ◽  
李斌康 Li Binkang ◽  
宋朝晖 Song Zhaohui ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Spherical Shell ◽  
Dual Energy ◽  
Density Difference ◽  
Dual Energy Ct ◽  
Reconstruction Method ◽  
Great Density ◽  
Image Reconstruction Method

TU-FG-BRB-03: Basis Vector Model Based Method for Proton Stopping Power Estimation From Experimental Dual Energy CT Data

2016 ◽  
Vol 43 (6Part35) ◽  
pp. 3756-3756 ◽  
Author(s):  
S Zhang ◽  
D Han ◽  
D Politte ◽  
M Porras-Chaverri ◽  
B Whiting ◽  
...  
Keyword(s):  
Power Estimation ◽  
Dual Energy ◽  
Basis Vector ◽  
Stopping Power ◽  
Vector Model ◽  
Dual Energy Ct ◽  
Model Based ◽  
Ct Data

Anisotropic structure property based image reconstruction method for limited-angle computed tomography

2021 ◽  
pp. 1-24
Author(s):  
Changcheng Gong ◽  
Li Zeng
Keyword(s):  
Computed Tomography ◽  
Image Reconstruction ◽  
Projection Data ◽  
Reconstruction Technique ◽  
Reconstruction Method ◽  
Anisotropic Structure ◽  
Structure Property ◽  
Image Reconstruction Method ◽  
Ct Data ◽  
Limited Angle

Limited-angle computed tomography (CT) may appear in restricted CT scans. Since the available projection data is incomplete, the images reconstructed by filtered back-projection (FBP) or algebraic reconstruction technique (ART) often encounter shading artifacts. However, using the anisotropy property of the shading artifacts that coincide with the characteristic of limited-angle CT images can reduce the shading artifacts. Considering this concept, we combine the anisotropy property of the shading artifacts with the anisotropic structure property of an image to develop a new algorithm for image reconstruction. Specifically, we propose an image reconstruction method based on adaptive weighted anisotropic total variation (AwATV). This method, termed as AwATV method for short, is designed to preserve image structures and then remove the shading artifacts. It characterizes both of above properties. The anisotropy property of the shading artifacts accounts for reducing artifacts, and the anisotropic structure property of an image accounts for preserving structures. In order to evaluate the performance of AwATV, we use the simulation projection data of FORBILD head phantom and real CT data for image reconstruction. Experimental results show that AwATV can always reconstruct images with higher SSIM and PSNR, and smaller RMSE, which means that AwATV enables to reconstruct images with higher quality in term of artifact reduction and structure preservation.

Experimental verification of ion stopping power prediction from dual energy CT data in tissue surrogates

2013 ◽  
Vol 59 (1) ◽  
pp. 83-96 ◽  
Author(s):  
Nora Hünemohr ◽  
Bernhard Krauss ◽  
Christoph Tremmel ◽  
Benjamin Ackermann ◽  
Oliver Jäkel ◽  
...  
Keyword(s):  
Experimental Verification ◽  
Dual Energy ◽  
Stopping Power ◽  
Dual Energy Ct ◽  
Power Prediction ◽  
Ct Data
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