Neural Network-Based Filtered Back-Projection Reconstruction and Limited-View Artifacts Correction

Author(s):  
Maoyu Tian ◽  
Bingzhen Lei ◽  
Junhai Wen
1998 ◽  
Vol 45 (3) ◽  
pp. 1133-1137 ◽  
Author(s):  
T.H. Farquhar ◽  
A. Chatziioannou ◽  
G. Chinn ◽  
M. Dahlbom ◽  
E.J. Hoffman

2013 ◽  
Vol 749 ◽  
pp. 371-376
Author(s):  
Yang Xuan ◽  
Xu Wang ◽  
Cheng An Liu ◽  
Dan Yang

Magnetic induction tomography (MIT) is a noninvasive and contactless imaging modality which aims at the reconstruction of the electrical conductivity in objects from alternating magnetic fields. Filtered back projection reconstruction algorithm is widely used in biomedical imaging field, and tried to use in MIT. Finite element analysis model has been established based on Scharfetter coil-coil model and perturbation theory, then simulated coaxial coil system by ANSYS software, the perturbation aroused by a target object moving on vertical coil axis. The sensitivity of a target object moves in vacuum and a salt solution were calculated respectively, the characteristics of the perturbation sensitivity in a salt solution were analyzed. The conditions of filtered back projection reconstruction algorithm in MIT were discussed.


Author(s):  
Bernhard E. H. Claus ◽  
Jeffrey W. Eberhard ◽  
Andrea Schmitz ◽  
Paul Carson ◽  
Mitchell Goodsitt ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
James M. Wong ◽  
Tanuj Puri ◽  
Muhammad Musib Siddique ◽  
Michelle L. Frost ◽  
Amelia E. B. Moore ◽  
...  

2012 ◽  
Vol 81 (12) ◽  
pp. 4185-4195 ◽  
Author(s):  
Yoshitake Yamada ◽  
Masahiro Jinzaki ◽  
Takahiro Hosokawa ◽  
Yutaka Tanami ◽  
Hiroaki Sugiura ◽  
...  

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