Improvement of Image Quality of Cone-beam CT Images by Three-dimensional Generative Adversarial Network

Author(s):  
Takumi Hase ◽  
Megumi Nakao ◽  
Keiho Imanishi ◽  
Mitsuhiro Nakamura ◽  
Tetsuya Matsuda
2021 ◽  
Vol 11 (1) ◽  
pp. 35-47
Author(s):  
Ngoc Ha Bui ◽  
Tien Hung Bui ◽  
Thuy Duong Tran ◽  
Kim Tuan Tran ◽  
Ngoc Toan Tran

: 3D Filtered Back Projection (FBP) is a three-dimensional reconstruction algorithm usually used in Cone Beam Computed Tomography (CBCT) system. FBP is one of the most popular algorithms due to its reconstruction is fast while quality of the result is acceptable. It can also handle a more considerable amount of data with same computer performance with other algorithms. However, the quality of a reconstructed image by the FBP algorithm strongly depends on spatial filters and denoising filters applied to projections. In this paper an evaluation of the reconstructed image quality of the CBCT system by using different denoising filters and spatial filters to find out the best filters for the CBCT system is performed. The result shows that, there is a significantly decrease of the noise of projection with the combination of Median and Gaussian filters. The reconstructed image has high resolution with Cosine filter and becomes more sharpen with Hanning filter.


2014 ◽  
Vol 41 (6Part1) ◽  
pp. 061910 ◽  
Author(s):  
Uros Stankovic ◽  
Marcel van Herk ◽  
Lennert S. Ploeger ◽  
Jan-Jakob Sonke

2003 ◽  
Author(s):  
Georg Rose ◽  
Jens Wiegert ◽  
Dirk Schaefer ◽  
Klaus Fiedler ◽  
Norbert Conrads ◽  
...  

2007 ◽  
Vol 34 (6Part19) ◽  
pp. 2572-2572 ◽  
Author(s):  
O Morin ◽  
M Aubin ◽  
J Aubry ◽  
S Bose ◽  
J Chen ◽  
...  

2019 ◽  
Vol 133 ◽  
pp. S303
Author(s):  
F. Slevin ◽  
M. Beasley ◽  
A. Needham ◽  
J. Lilley ◽  
R. Speight ◽  
...  

2008 ◽  
Vol 35 (5) ◽  
pp. 1807-1815 ◽  
Author(s):  
Jean-Pierre Bissonnette ◽  
Douglas J. Moseley ◽  
David A. Jaffray

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