Paper Info
Title
Development of novel statistical reconstruction algorithms for poly-energetic X-ray computed tomography.
Abstract
A beam-hardening effect is a common problem affecting the quantitative aspects of X-ray computed tomography (CT). We have developed two statistical reconstruction algorithms for poly-energetic X-ray CT that can effectively reduce the beam-hardening effect. Phantom tests were used to evaluate our approach in comparison with traditional correction methods. Unlike previous methods, our algorithm utilizes multiple energy-corresponding blank scans to estimate the attenuation map for a particular energy spectrum. Therefore, our algorithm is an energy-selective reconstruction. In addition to benefits over other statistical algorithms for poly-energetic reconstruction, our algorithm has the advantage of not requiring prior knowledge of the object material, the energy spectrum of the source and the energy sensitivity of the detector. The results showed an improvement in coefficient of variation, uniformity and signal-to-noise ratio; overall, this novel approach produces a better beam-hardening correction.
Year
DOI
Venue
2008
10.1016/j.cmpb.2008.04.002
Computer Methods and Programs in Biomedicine
Keywords
Field
DocType
particular energy spectrum,algorithm utilizes,energy sensitivity,computed tomography,energy spectrum,poly-energetic x-ray,beam-hardening correction,beam-hardening effect,statistical reconstruction algorithm,poly-energetic reconstruction,novel statistical reconstruction algorithm,statistical algorithm,energy-selective reconstruction,signal to noise ratio,coefficient of variation
Iterative reconstruction,Tomographic reconstruction,X-ray,Computer science,Imaging phantom,Algorithm,Blank,Computed tomography,Attenuation,Detector
Journal
Volume
Issue
ISSN
92
3
0169-2607
Citations 
PageRank 
References 
0
0.34
2
Authors
6
Name
Order
Citations
PageRank
Ho-Shiang Chueh111.72
Wen-Kai Tsai2257.60
Chih-Chieh Chang3233.37
Shu-ming Chang4308.19
Kuan-Hao Su5245.46
Jyh-Cheng Chen61204146.68