TY - GEN
T1 - A novel alternative algorithm for limited angle tomography
AU - Lu, Xiaoqiang
AU - Yuan, Yuan
AU - Yan, Pingkun
AU - Li, Xuelong
PY - 2011
Y1 - 2011
N2 - This paper studies incomplete data problems of circular cone-beam computed tomography, which occur frequently in medical imaging and industrial imaging. The incomplete data problems in which projection data are only available in an angular range can be attributed to the limited angle tomography. Limited angle tomography is a severely ill-posed inverse problem. In recent years, image reconstruction based on total variation (TV) was employed to reduce the problem and gave better performance on edge-preserving reconstruction. However, the artificial parameter can only be determined through considerable experimentation. In this paper, an alternating minimization method based on TV is proposed to reduce the data insufficiency in tomographic imaging. This novel alternating minimization method provides a robust and effective reconstruction without any artificial parameter in the iterative processes, by using the TV as a multiplicative constraint. The results demonstrate that this new reconstruction method brings satisfactory performance.
AB - This paper studies incomplete data problems of circular cone-beam computed tomography, which occur frequently in medical imaging and industrial imaging. The incomplete data problems in which projection data are only available in an angular range can be attributed to the limited angle tomography. Limited angle tomography is a severely ill-posed inverse problem. In recent years, image reconstruction based on total variation (TV) was employed to reduce the problem and gave better performance on edge-preserving reconstruction. However, the artificial parameter can only be determined through considerable experimentation. In this paper, an alternating minimization method based on TV is proposed to reduce the data insufficiency in tomographic imaging. This novel alternating minimization method provides a robust and effective reconstruction without any artificial parameter in the iterative processes, by using the TV as a multiplicative constraint. The results demonstrate that this new reconstruction method brings satisfactory performance.
KW - Alternating minimization
KW - Limited angle tomography
KW - Total variation
UR - http://www.scopus.com/inward/record.url?scp=84863021329&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116536
DO - 10.1109/ICIP.2011.6116536
M3 - 会议稿件
AN - SCOPUS:84863021329
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 409
EP - 412
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -