Direct image reconstruction for electromagnetic tomography(EMT) by using the dbar method

2011 ◽  
Author(s):  
Zhang Cao ◽  
Lijun Xu ◽  
Xingbin Liu
Keyword(s):  
Image Reconstruction ◽  
Direct Image ◽  
Electromagnetic Tomography

Application of perturbation methods to image reconstruction in electromagnetic tomography

2005 ◽  
Vol 16 (2-3) ◽  
pp. 205-210 ◽  
Author(s):  
Min He ◽  
Ze Liu ◽  
Xiao Yan Xu ◽  
Han Liang Xiong ◽  
Ling-an Xu
Keyword(s):  
Image Reconstruction ◽  
Perturbation Methods ◽  
Electromagnetic Tomography

Efficient 3D TOF PET Reconstruction Using View-Grouped Histo-Images: DIRECT - Direct Image Reconstruction for TOF

2006 ◽  
Author(s):  
Samuel Matej ◽  
Shridhar Jayanthi ◽  
Suleman Surti ◽  
Margaret E. Daube-Witherspoon ◽  
Gerd Muehllehner ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Direct Image ◽  
Pet Reconstruction ◽  
Tof Pet

AN IMPROVED 3DRP PET IMAGE RECONSTRUCTION METHOD WITH REBINNED DIRECT IMAGE ESTIMATE

2006 ◽  
Vol 18 (05) ◽  
pp. 237-245
Author(s):  
WEI-MIN JENG ◽  
HSUAN-HUI WANG
Keyword(s):  
Image Reconstruction ◽  
Image Quality ◽  
Three Dimensional ◽  
Simulation Software ◽  
Direct Image ◽  
Projection Data ◽  
Reconstruction Method ◽  
Two Dimensional ◽  
Dimensional Image

The quality of traditional two-dimensional image reconstruction for PET has been efficiently improved by three-dimensional image reconstruction, but the sensitivity of the data and the quality of the image are restricted by the limit of modality physics. In analytical image reconstruction algorithm, 3DRP method compensates the unmeasured events by forward projection based on the initial direct image estimate. However, the original 3DRP method merely depends on the parallel projections without taking into account the oblique projections. In our proposed 3DRP-SSRB method, we improve the first image estimate by incorporating the rebinned oblique data. SSRB method was used to perform the rebinning operation to make uses of the oblique projection data to improve the sensitivity information. And then project the improved image estimate forward and reconstruct the final image. Conflicting parameters of reconstructed image quality of 3DRP are experimented by simulated three-dimensional phantom study with regard to both system sensitivity and image quality factors. PET simulation software package was used to conduct the experiment along with the MATLAB software to evaluate the effectiveness of two-dimensional FBP, 3DRP, and our proposed 3DRP-SSRB methods. The result demonstrated its better image quality by having better mean squared error numbers in most of output image slices.

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