TY - GEN
T1 - Data-driven method for 3D axis-symmetric object reconstruction from single cone-beam projection data
AU - Luo, Shousheng
AU - Meng, Ruyue
AU - Wei, Suhua
AU - Cai, Jian Feng
AU - Tai, Xue-Cheng
AU - Wang, Yang
N1 - Funding Information:
Shousheng Luo was supported by the Programs for Science and Technology Development of He?nan Province (192102310181). Suhua Wei was supported by National Natural Science Foundation of China (11571003). Xue-Cheng Tai was supported by the startup grant at Hong Kong Baptist University, grants RG(R)- RC/17-18/02-MATH and FRG2/17-18/033. Jian-Feng Cai was supported in part by Hong Kong Research Grant Council grant 16306317. Yang Wang was supported in part by the Hong Kong Research Grant Council grants 16306415 and 16308518.
PY - 2019/8/24
Y1 - 2019/8/24
N2 - In this paper we consider 3D axis-symmetric (AS) object reconstruction from single cone-beam x-ray projection data. Traditional x-ray CT fails to capture fleeting state of material due to the long time for data acquisition at all angles. Therefore, AS object is devised to investigate the instant deformation of material under pulse change of environment because single projection data is enough to reconstruct its inner structure. Previous reconstruction methods are layer by layer, and ignore the longitudinal tilt of x-ray paths. We propose a regularization method using adaptive tight frame to reconstruct the 3D AS object structure simultaneously. Alternating direction method is adopted to solve the proposed model. More importantly, a numerical algorithm is developed to compute imaging matrix. Experiments on simulation data verify the effectiveness of our method.
AB - In this paper we consider 3D axis-symmetric (AS) object reconstruction from single cone-beam x-ray projection data. Traditional x-ray CT fails to capture fleeting state of material due to the long time for data acquisition at all angles. Therefore, AS object is devised to investigate the instant deformation of material under pulse change of environment because single projection data is enough to reconstruct its inner structure. Previous reconstruction methods are layer by layer, and ignore the longitudinal tilt of x-ray paths. We propose a regularization method using adaptive tight frame to reconstruct the 3D AS object structure simultaneously. Alternating direction method is adopted to solve the proposed model. More importantly, a numerical algorithm is developed to compute imaging matrix. Experiments on simulation data verify the effectiveness of our method.
KW - 3D axis-symmetric object
KW - Adaptive tight frame
KW - Computed tomography
KW - Primal-dual algorithm
UR - http://www.scopus.com/inward/record.url?scp=85077542360&partnerID=8YFLogxK
U2 - 10.1145/3364836.3364895
DO - 10.1145/3364836.3364895
M3 - Conference proceeding
AN - SCOPUS:85077542360
T3 - ACM International Conference Proceeding Series
SP - 288
EP - 292
BT - ISICDM 2019 - Conference Proceedings
PB - Association for Computing Machinery (ACM)
T2 - 3rd International Symposium on Image Computing and Digital Medicine, ISICDM 2019
Y2 - 24 August 2019 through 26 August 2019
ER -