DocumentCode
2508058
Title
A correlation and LS-SVM based approach to mitigate motion artifacts in FDK based 3D cone-beam tomography
Author
Bhowmik, Ujjal Kumar ; Adhami, Reza R.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Alabama in Huntsville, Huntsville, AL, USA
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
8471
Lastpage
8474
Abstract
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.
Keywords
computerised tomography; correlation methods; image reconstruction; image resolution; least squares approximations; medical image processing; motion compensation; phantoms; support vector machines; time series; 3D Shepp-Logan phantom; FDK based 3D cone-beam tomography; LS-SVM based approach; LS-SVM based time series prediction; adjacent X-ray projections; brain CT; correlation based approach; disease misdiagnosis; head motion; least squares support vector machine based approach; motion artifacts; reconstructed image; Computed tomography; Detectors; Ellipsoids; Head; Image reconstruction; Phantoms; Three dimensional displays; FDK; LS-SVM; Motion Artifacts; Motion Detection; Three-dimensional CT; Time series prediction; Algorithms; Artifacts; Cone-Beam Computed Tomography; Imaging, Three-Dimensional; Least-Squares Analysis; Motion; Phantoms, Imaging; Rotation; Support Vector Machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6092090
Filename
6092090
Link To Document