scholarly journals An Iterative Image Reconstruction Method for the Region-of-Interest CT Assisted from Exterior Projection Data

2014 ◽  
Vol 35 (5) ◽  
pp. 132-141 ◽  
Author(s):  
Seung Oh Jin ◽  
Oh-Kyong Kwon
Keyword(s):  
Image Reconstruction ◽  
Region Of Interest ◽  
Projection Data ◽  
Reconstruction Method ◽  
Iterative Image Reconstruction ◽  
Image Reconstruction Method

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.

A two-step filtering-based iterative image reconstruction method for interior tomography

2016 ◽  
Vol 24 (5) ◽  
pp. 733-747 ◽  
Author(s):  
Hanming Zhang ◽  
Lei Li ◽  
Bin Yan ◽  
Linyuan Wang ◽  
Ailong Cai ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Method ◽  
Iterative Image Reconstruction ◽  
Image Reconstruction Method
Sign in / Sign up

Export Citation Format

Share Document