Derivation and analysis of a filtered backprojection algorithm for cone beam projection data

1991 ◽  
Vol 10 (3) ◽  
pp. 462-472 ◽  
Author(s):  
X.-H. Yan ◽  
R.M. Leahy
Keyword(s):  
Cone Beam ◽  
Projection Data ◽  
Filtered Backprojection ◽  
Beam Projection

scholarly journals Data correlation based noise level estimation for cone beam projection data

2017 ◽  
Vol 25 (6) ◽  
pp. 907-926 ◽  
Author(s):  
Ti Bai ◽  
Hao Yan ◽  
Luo Ouyang ◽  
David Staub ◽  
Jing Wang ◽  
...  
Keyword(s):  
Noise Level ◽  
Cone Beam ◽  
Projection Data ◽  
Data Correlation ◽  
Noise Level Estimation ◽  
Beam Projection

Image reconstruction from rebinned helical cone-beam projection data

2007 ◽  
Author(s):  
Dan Xia ◽  
Lifeng Yu ◽  
Junguo Bian ◽  
Xiaochuan Pan
Keyword(s):  
Image Reconstruction ◽  
Cone Beam ◽  
Projection Data ◽  
Beam Projection

scholarly journals Extending Three-Dimensional Weighted Cone Beam Filtered Backprojection (CB-FBP) Algorithm for Image Reconstruction in Volumetric CT at Low Helical Pitches

2006 ◽  
Vol 2006 ◽  
pp. 1-8 ◽  
Author(s):  
Xiangyang Tang ◽  
Jiang Hsieh ◽  
Roy A. Nilsen ◽  
Scott M. McOlash
Keyword(s):  
Three Dimensional ◽  
Reconstruction Algorithm ◽  
Cone Beam ◽  
Projection Data ◽  
Angular Range ◽  
Filtered Backprojection ◽  
Tomographic Images ◽  
Noise Characteristics ◽  
Dose Efficiency ◽  
Full Scan

A three-dimensional (3D) weighted helical cone beam filtered backprojection (CB-FBP) algorithm (namely, original 3D weighted helical CB-FBP algorithm) has already been proposed to reconstruct images from the projection data acquired along a helical trajectory in angular ranges up to[0,2π]. However, an overscan is usually employed in the clinic to reconstruct tomographic images with superior noise characteristics at the most challenging anatomic structures, such as head and spine, extremity imaging, and CT angiography as well. To obtain the most achievable noise characteristics or dose efficiency in a helical overscan, we extended the 3D weighted helical CB-FBP algorithm to handle helical pitches that are smaller than1:1(namely extended 3D weighted helical CB-FBP algorithm). By decomposing a helical over scan with an angular range of[0,2π+Δβ]into a union of full scans corresponding to an angular range of[0,2π], the extended 3D weighted function is a summation of all 3D weighting functions corresponding to each full scan. An experimental evaluation shows that the extended 3D weighted helical CB-FBP algorithm can improve noise characteristics or dose efficiency of the 3D weighted helical CB-FBP algorithm at a helical pitch smaller than1:1, while its reconstruction accuracy and computational efficiency are maintained. It is believed that, such an efficient CB reconstruction algorithm that can provide superior noise characteristics or dose efficiency at low helical pitches may find its extensive applications in CT medical imaging.

Sign in / Sign up

Export Citation Format

Share Document