TY - GEN
T1 - A correlation and LS-SVM based approach to mitigate motion artifacts in FDK based 3D cone-beam tomography
AU - Bhowmik, Ujjal Kumar
AU - Adhami, Reza R.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - FDK
KW - LS-SVM
KW - Motion Artifacts
KW - Motion Detection
KW - Three-dimensional CT
KW - Time series prediction
UR - http://www.scopus.com/inward/record.url?scp=84861678646&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861678646&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2011.6092090
DO - 10.1109/IEMBS.2011.6092090
M3 - Conference contribution
C2 - 22256314
AN - SCOPUS:84861678646
SN - 9781424441211
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 8471
EP - 8474
BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Y2 - 30 August 2011 through 3 September 2011
ER -