Document Detail


A correlation and LS-SVM based approach to mitigate motion artifacts in FDK based 3D cone-beam tomography.
MedLine Citation:
PMID:  22256314     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Head motion during brain CT studies can degrade the reconstructed image by introducing distortion and loss of resolution, thereby contributing to misdiagnosis of diseases. In this paper, we have proposed a correlation coefficient and Least Squares Support Vector Machines (LS-SVM) based approach to detect and mitigate motion artifacts in FDK based three-dimensional cone-beam tomography. Motion is detected using correlation between adjacent x-ray projections. Artifacts, caused by motion, are mitigated either by replacing motion corrupted projections with their counterpart 180° apart projections under certain conditions, or by estimating motion corrupted projections using LS-SVM based time series prediction. The method has been evaluated on 3D Shepp-Logan phantom. Simulation results validate our claims.
Authors:
Ujjal Kumar Bhowmik; Reza R Adhami
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2011     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2011  
Date Detail:
Created Date:  2012-01-18     Completed Date:  2012-05-31     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  8471-4     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Artifacts*
Cone-Beam Computed Tomography / methods*
Imaging, Three-Dimensional / methods*
Least-Squares Analysis
Motion*
Phantoms, Imaging
Rotation
Support Vector Machines*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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