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    
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.
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
Cone-Beam Computed Tomography / methods*
Imaging, Three-Dimensional / methods*
Least-Squares Analysis
Phantoms, Imaging
Support Vector Machines*

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

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