X-Ray Multispectrum CT Imaging by Projection Sequences Blind Separation Based on Basis-Effect Decomposition

被引:14
作者
Chen, Ping [1 ]
Han, Yan [1 ]
Li, Yihong [1 ]
机构
[1] North Univ China, State Key Lab Elect Testing Technol, Taiyuan 030051, Peoples R China
基金
中国国家自然科学基金;
关键词
Basis effect; blind separation; multispectrum CT imaging; narrow-spectrum projection; projection sequences; BEAM HARDENING CORRECTION; COMPUTED-TOMOGRAPHY; RECONSTRUCTION;
D O I
10.1109/TIM.2020.3040478
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Multispectral CT is a promising method in material characterization, nondestructive evaluation, and other applications. For multispectral CT, the method of projection domain separation can make multispectral CT reconstruction less complex and easier to implement. But X-ray spectrum should be known. By blind separation of projection sequences with different X-ray energy, the ray spectrum is not known in advance, and narrow-spectrum projections can be captured too. However, the proposed blind separation is a signal processing method, without energy constraint. The energy directivity and component characterization accuracy are weaker. To address this problem, this article uses X-ray basis-effect decomposition to propose a new separation model. Both simulation and actual samples are tested to verify and evaluate the proposed method. The experimental results show that the proposed separation model has stronger energy spectrum directivity. The reconstructed attenuation coefficient has smaller error and superior narrow-spectrum characteristics.
引用
收藏
页数:8
相关论文
共 27 条
[11]  
Gu RL, 2013, INT CONF ACOUST SPEE, P1085, DOI 10.1109/ICASSP.2013.6637817
[12]   Beam hardening correction for X-ray computed tomography of heterogeneous natural materials [J].
Ketcham, Richard A. ;
Hanna, Romy D. .
COMPUTERS & GEOSCIENCES, 2014, 67 :49-61
[13]   Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty [J].
Kim, Kyungsang ;
Ye, Jong Chul ;
Worstell, William ;
Ouyang, Jinsong ;
Rakvongthai, Yothin ;
El Fakhri, Georges ;
Li, Quanzheng .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2015, 34 (03) :748-760
[14]   Projected gradient methods for nonnegative matrix factorization [J].
Lin, Chih-Jen .
NEURAL COMPUTATION, 2007, 19 (10) :2756-2779
[15]   Multi-Material Decomposition Using Statistical Image Reconstruction for Spectral CT [J].
Long, Yong ;
Fessler, Jeffrey A. .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2014, 33 (08) :1614-1626
[16]   Joint Statistical Iterative Material Image Reconstruction for Spectral Computed Tomography Using a Semi-Emprical Forward Model [J].
Mechlem, Korbinian ;
Ehn, Sebastian ;
Sellerer, Thorsten ;
Braig, Eva ;
Muenzel, Daniela ;
Pfeiffer, Franz ;
Noel, Peter B. .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2018, 37 (01) :68-80
[17]   Iterative image-domain decomposition for dual-energy CT [J].
Niu, Tianye ;
Dong, Xue ;
Petrongolo, Michael ;
Zhu, Lei .
MEDICAL PHYSICS, 2014, 41 (04)
[18]   Statistical Reconstruction of Material Decomposed Data in Spectral CT [J].
Schirra, Carsten O. ;
Roessl, Ewald ;
Koehler, Thomas ;
Brendel, Bernhard ;
Thran, Axel ;
Pan, Dipanjan ;
Anastasio, Mark A. ;
Proksa, Roland .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2013, 32 (07) :1249-1257
[19]   Experimental feasibility of multi-energy photon-counting K-edge imaging in pre-clinical computed tomography [J].
Schlomka, J. P. ;
Roessl, E. ;
Dorscheid, R. ;
Dill, S. ;
Martens, G. ;
Istel, T. ;
Baeumer, C. ;
Herrmann, C. ;
Steadman, R. ;
Zeitler, G. ;
Livne, A. ;
Proksa, R. .
PHYSICS IN MEDICINE AND BIOLOGY, 2008, 53 (15) :4031-4047
[20]   Dual energy CT using slow kVp switching acquisition and prior image constrained compressed sensing [J].
Szczykutowicz, Timothy P. ;
Chen, Guang-Hong .
PHYSICS IN MEDICINE AND BIOLOGY, 2010, 55 (21) :6411-6429