WE-G-134-06: Image Quality in Thoracic 4D Cone-Beam CT: A Sensitivity Analysis of Respiratory Signal Source, Binning Method, and Reconstruction Algorithm

2013 ◽  
Vol 40 (6Part31) ◽  
pp. 513-513
Author(s):  
C Shieh ◽  
J Kipritidis ◽  
R O' Brien ◽  
Z Kuncic ◽  
P Keall
2014 ◽  
Vol 41 (4) ◽  
pp. 041912 ◽  
Author(s):  
Chun-Chien Shieh ◽  
John Kipritidis ◽  
Ricky T. O'Brien ◽  
Zdenka Kuncic ◽  
Paul J. Keall

2012 ◽  
Vol 239-240 ◽  
pp. 1148-1151
Author(s):  
Li Fang Wang

The Katsevich reconstruction algorithm based on cone-beam must compute the derivative of projection data in the reconstruction process, but projection data are discrete and haven’t derivative. So the derivatives of the polynomial interpolation function are as approximation of the derivative of projection data. To verify the effectiveness of this method, 3D Shepp-Logan model is reconstructed by the method and the average gradient is used to measure the clarity of image. The experimental results show that this method enables image clearer and improves image quality


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.


2009 ◽  
Vol 36 (6Part24) ◽  
pp. 2746-2746
Author(s):  
T Li ◽  
X Li ◽  
Y Yang ◽  
D Heron ◽  
M Huq

2010 ◽  
Vol 194 (2) ◽  
pp. W193-W201 ◽  
Author(s):  
Lifeng Yu ◽  
Thomas J. Vrieze ◽  
Michael R. Bruesewitz ◽  
James M. Kofler ◽  
David R. DeLone ◽  
...  

2018 ◽  
Vol 52 ◽  
pp. 170
Author(s):  
James O’Halloran ◽  
Paddy Gilligan ◽  
Sinead Cleary ◽  
Susan Maguire ◽  
Gerald O’Connor ◽  
...  

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

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