Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Shuangliang, Cao"'
Autor:
Yuru He, Shuangliang Cao, Hongyan Zhang, Hao Sun, Fanghu Wang, Huobiao Zhu, Wenbing Lv, Lijun Lu
Publikováno v:
IEEE Access, Vol 9, Pp 41998-42012 (2021)
Dynamic positron emission tomography (PET) imaging usually suffers from high statistical noise due to low counts of the short frames. This study aims to improve the image quality of the short frames by utilizing information from other modality. We de
Externí odkaz:
https://doaj.org/article/d24046c5e43b464e965bd06166c36b82
Publikováno v:
IEEE Access, Vol 9, Pp 28965-28975 (2021)
Dynamic positron emission tomography (PET) image reconstruction is challenging due to the low-count statistics of individual frames. This study proposes a novel reconstruction framework aiming to enhance the quantitative accuracy of individual dynami
Externí odkaz:
https://doaj.org/article/b24d7b43620b476c80915c214b950a15
Publikováno v:
IEEE Access, Vol 9, Pp 52378-52392 (2021)
The quantitative accuracy of positron emission tomography (PET) is affected by several factors, including the intrinsic resolution of the imaging system and inherently noisy data, which result in a low signal-to-noise ratio (SNR) of PET image. To add
Externí odkaz:
https://doaj.org/article/1bcb036df7ad4f948aae914380e3fe98
Autor:
Guobing, Liu, Shuguang, Chen, Yan, Hu, Shuangliang, Cao, Xinlan, Yang, Yun, Zhou, Hongcheng, Shi
Publikováno v:
European Radiology. 33:3366-3376
This study aimed to investigate the performance of respiratory-gating imaging with reduced acquisition time using the total-body positron emission tomography/computed tomography (PET/CT) scanner.Imaging data of 71 patients with suspect malignancies w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2b5395863b63eced74b070da87012b3
https://doi.org/10.1007/s00330-022-09369-z
https://doi.org/10.1007/s00330-022-09369-z
Autor:
Shuangliang Cao, Yuru He, Huobiao Zhu, Hongyan Zhang, Lijun Lu, Wenbing Lv, Hao Sun, Fanghu Wang
Publikováno v:
IEEE Access, Vol 9, Pp 41998-42012 (2021)
Dynamic positron emission tomography (PET) imaging usually suffers from high statistical noise due to low counts of the short frames. This study aims to improve the image quality of the short frames by utilizing information from other modality. We de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86e06829a0f83d7ce85e7eacfcd872ff
https://ieeexplore.ieee.org/document/9373391/
https://ieeexplore.ieee.org/document/9373391/
Publikováno v:
IEEE Access, Vol 9, Pp 28965-28975 (2021)
Dynamic positron emission tomography (PET) image reconstruction is challenging due to the low-count statistics of individual frames. This study proposes a novel reconstruction framework aiming to enhance the quantitative accuracy of individual dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c739ec09c4358bbfcb9cd408b720f24
https://ieeexplore.ieee.org/document/9352789/
https://ieeexplore.ieee.org/document/9352789/
Autor:
Jun Cheng, Wei Huang, Shuangliang Cao, Ru Yang, Wei Yang, Zhaoqiang Yun, Zhijian Wang, Qianjin Feng
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0140381 (2015)
Automatic classification of tissue types of region of interest (ROI) plays an important role in computer-aided diagnosis. In the current study, we focus on the classification of three types of brain tumors (i.e., meningioma, glioma, and pituitary tum
Externí odkaz:
https://doaj.org/article/383b1d10cac34923a9dd976b90c24835
Autor:
Jun Cheng, Wei Huang, Shuangliang Cao, Ru Yang, Wei Yang, Zhaoqiang Yun, Zhijian Wang, Qianjin Feng
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0144479 (2015)
Externí odkaz:
https://doaj.org/article/f1f123110a6145bf8f0fb0390a661fc7
Publikováno v:
Computers in biology and medicine. 139
In dynamic positron emission tomography (PET) imaging, the reconstructed image of a single frame often exhibits high noise due to limited counting statistics of projection data. This study proposed a median nonlocal means (MNLM)-based kernel method f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66cdd9b324110096a01a66add73b0ead
https://pubmed.ncbi.nlm.nih.gov/34768034
https://pubmed.ncbi.nlm.nih.gov/34768034
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2019 (2019)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Residual cancer burden (RCB) has been proposed to measure the postneoadjuvant breast cancer response. In the workflow of RCB assessment, estimation of cancer cellularity is a critical task, which is conventionally achieved by manually reviewing the h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2730ec0f870b52229260d593f166c2aa
https://doaj.org/article/6ddfea750d8848f39ef1b947fb3b4d25
https://doaj.org/article/6ddfea750d8848f39ef1b947fb3b4d25