The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images

2007 ◽  
pp. 42-47 ◽  
Author(s):  
May Oehler ◽  
Thorsten M. Buzug
Keyword(s):  
Iterative Reconstruction ◽  
Ct Images ◽  
Reconstruction Technique ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Iterative Reconstruction Technique

scholarly journals CT Metal Artifact Reduction in the Spine: Can an Iterative Reconstruction Technique Improve Visualization?

2015 ◽  
Vol 36 (11) ◽  
pp. 2184-2190 ◽  
Author(s):  
A.L. Kotsenas ◽  
G.J. Michalak ◽  
D.R. DeLone ◽  
F.E. Diehn ◽  
K. Grant ◽  
...  
Keyword(s):  
Iterative Reconstruction ◽  
Reconstruction Technique ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Iterative Reconstruction Technique

Segmentation-aided adaptive filtering for metal artifact reduction in radio-therapeutic CT images

2004 ◽  
Author(s):  
Celine Saint Olive ◽  
Michael R. Kaus ◽  
Vladimir Pekar ◽  
Kai Eck ◽  
Lothar Spies
Keyword(s):  
Adaptive Filtering ◽  
Ct Images ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction

Comprehensive Survey on Metal Artifact Reduction Methods in Computed Tomography Images

2017 ◽  
pp. 1281-1302 ◽  
Author(s):  
Shrinivas D. Desai ◽  
Linganagouda Kulkarni
Keyword(s):  
Medical Imaging ◽  
Ct Images ◽  
Future Research ◽  
Reference Source ◽  
Projection Data ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Reduction Methods ◽  
Comprehensive Survey

Over the past few years, medical imaging technology has significantly advanced. Today, medical imaging modalities have been designed with state-of-the-art technology to provide much better in-depth resolution, reduced artifacts, and improved contrast –to – noise ratio. However in many practical situations complete projection data is not acquired leading to incomplete data problem. When the data is incomplete, tomograms may blur, resolution degrades, noise increases and forms artifacts which is the most important factor in degrading the tomography image quality and eventually hinders diagnostic accuracy. Efficient strategies to address this problem and to improve the diagnostic acceptability of CT images are thus invaluable. This review work, presents comprehensive survey of techniques for minimization of streaking artifact due to metallic implant in CT images. Problematic issues and outlook for the future research are discussed too. The major goal of the paper is to provide a comprehensive reference source for the researchers involved in metal artifact reduction methods.

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