Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Ailong Cai"'
Publikováno v:
IEEE Access, Vol 12, Pp 58128-58142 (2024)
Spectral computed tomography (spectral CT) is a promising medical imaging technology because of its ability to provide information on material characterization and quantification. However, the difficulty of decomposition increases due to the nonlinea
Externí odkaz:
https://doaj.org/article/8d72dd0bce204b5293c842650d12bb1f
Autor:
Jie Guo, Xiaohuan Yu, Shaoyu Wang, Ailong Cai, Zhizhong Zheng, Ningning Liang, Lei Li, Bin Yan
Publikováno v:
IEEE Access, Vol 12, Pp 56368-56382 (2024)
Spectral computed tomography (CT) has a wide range of applications in material discrimination, clinical diagnosis and tissue representation. However, the photon counting detector measurements are subject to serious quantum noise caused by photon star
Externí odkaz:
https://doaj.org/article/4752661c6bb44edebf0c48382055d10a
Direct Multi-Material Reconstruction via Iterative Proximal Adaptive Descent for Spectral CT Imaging
Publikováno v:
Bioengineering, Vol 10, Iss 4, p 470 (2023)
Spectral computed tomography (spectral CT) is a promising medical imaging technology because of its ability to provide information on material characterization and quantification. However, with an increasing number of basis materials, the nonlinearit
Externí odkaz:
https://doaj.org/article/99e4c03847b24c16af9a46b173e4ff36
Autor:
Wenkun Zhang, Ailong Cai, Zhizhong Zheng, Linyuan Wang, Ningning Liang, Lei Li, Bin Yan, Guoen Hu
Publikováno v:
IEEE Access, Vol 7, Pp 138579-138592 (2019)
Dual-energy computed tomography (DECT) has attracted the attention of clinical researchers because of its outstanding capabilities to identify and decompose materials. Considering that material decomposition is unstable, reconstructed material images
Externí odkaz:
https://doaj.org/article/3e16ea395b754eb7a7bf1e0fdae9ca32
Autor:
Ziheng Li, Ailong Cai, Linyuan Wang, Wenkun Zhang, Chao Tang, Lei Li, Ningning Liang, Bin Yan
Publikováno v:
Sensors, Vol 19, Iss 18, p 3941 (2019)
Limited-angle computed tomography (CT) image reconstruction is a challenging problem in the field of CT imaging. In some special applications, limited by the geometric space and mechanical structure of the imaging system, projections can only be coll
Externí odkaz:
https://doaj.org/article/01378e0d2bdf4a05878617384abacb97
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0149899 (2016)
Total generalized variation (TGV)-based computed tomography (CT) image reconstruction, which utilizes high-order image derivatives, is superior to total variation-based methods in terms of the preservation of edge information and the suppression of u
Externí odkaz:
https://doaj.org/article/2eda52a36c654864ab90360f8df294df
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences. 7:382-393
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd7bff0629edfa160af03cc577aa2940
https://doi.org/10.1109/trpms.2023.3234613
https://doi.org/10.1109/trpms.2023.3234613
Publikováno v:
Journal of X-Ray Science and Technology. 31:319-336
BACKGROUND: Computed tomography (CT) plays an important role in the field of non-destructive testing. However, conventional CT images often have blurred edge and unclear texture, which is not conducive to the follow-up medical diagnosis and industria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a4e2610a9d5dd9fa00581ca9fbae42d
https://doi.org/10.3233/xst-221299
https://doi.org/10.3233/xst-221299
Autor:
Shaoyu Wang, Weiwen Wu, Ailong Cai, Yongshun Xu, Varut Vardhanabhuti, Fenglin Liu, Hengyong Yu
Publikováno v:
Quantitative Imaging in Medicine and Surgery. 13:610-630
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6b1b1981ce2c7443a61a0355ca700e6
https://doi.org/10.21037/qims-22-235
https://doi.org/10.21037/qims-22-235
Publikováno v:
Quantitative Imaging in Medicine and Surgery. 13:889-911
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa9a473f7cef45e4bc22fde4f50fc648
https://doi.org/10.21037/qims-22-647
https://doi.org/10.21037/qims-22-647