C-ARM CONE-BEAM COMPUTED TOMOGRAPHY WITH A FLAT PANEL DETECTOR FOR INTRAOPERATIVE RENAL IMAGING – ASSESSMENT OF IMAGE QUALITY

2008 ◽  
Vol 179 (4S) ◽  
pp. 679-680
Author(s):  
Frank N Burks ◽  
Evelyn L Sebastion ◽  
Leonard H Kim ◽  
Jose A Gonzalez ◽  
Alvaro A Martinez ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Image Quality ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Flat Panel ◽  
Renal Imaging ◽  
Flat Panel Detector

Planar cone-beam computed tomography with a flat-panel detector

2015 ◽  
Vol 10 (12) ◽  
pp. T12004-T12004 ◽  
Author(s):  
S.H. Kim ◽  
D.W. Kim ◽  
H. Youn ◽  
D. Kim ◽  
S. Kam ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Flat Panel ◽  
Flat Panel Detector

Image Restoration Method Based on Pre-Filtering for Cone-Beam Computed Tomography

2012 ◽  
Vol 229-231 ◽  
pp. 1858-1861
Author(s):  
Hua Zhang ◽  
Yi Kai Shi ◽  
Kui Dong Huang ◽  
Qing Chao Yu
Keyword(s):  
Computed Tomography ◽  
Image Quality ◽  
Image Restoration ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Flat Panel ◽  
Before And After ◽  
Edge Sharpness ◽  
Restoration Method ◽  
Noise Amplification

For the problem of image quality degradation of cone-beam Computed Tomography (CBCT) based on flat panel detector (FPD), a constrained least squares iteration (CLSI) restoration method based on pre-filtering is proposed. Firstly, the original projected images are denoised with bilateral filtering algorithm. Then, the denoised projected images are restored with CLSI. Finally, the final restored images are obtained by adding the noise images, which got by subtracting the projected images before and after denoising, to the restored images. The experimental results show that the method well inhibits the noise amplification phenomenon in image restoration, and increases the edge sharpness and contrast-to-noise ratio (CNR) of the projected images and slice images. The CBCT image quality is significantly improved with this method.

Investigation of the Lag Effect in X-Ray Flat-Panel Detector for Cone-Beam Computed Tomography

2020 ◽  
Vol 54 (3) ◽  
pp. 179-183
Author(s):  
A. K. Avakyan ◽  
I. L. Dergacheva ◽  
A. A. Elanchik ◽  
T. A. Krylova ◽  
T. K. Lobzhanidze ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Flat Panel ◽  
X Ray ◽  
Flat Panel Detector ◽  
Lag Effect
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