Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Nan-Jie Gong"'
Autor:
Na Qi, Boyang Pan, Qingyuan Meng, Yihong Yang, Jie Ding, Zengbei Yuan, Nan-Jie Gong, Jun Zhao
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background To evaluate the clinical performance of two deep learning methods, one utilizing real clinical pairs and the other utilizing simulated datasets, in enhancing image quality for two-dimensional (2D) fast whole-body scintigraphy (WBS
Externí odkaz:
https://doaj.org/article/6ba7669a45c546de9058de685600d458
Autor:
Boyang Pan, Na Qi, Qingyuan Meng, Jiachen Wang, Siyue Peng, Chengxiao Qi, Nan-Jie Gong, Jun Zhao
Publikováno v:
EJNMMI Physics, Vol 9, Iss 1, Pp 1-15 (2022)
Abstract Background To generate high-quality bone scan SPECT images from only 1/7 scan time SPECT images using deep learning-based enhancement method. Materials and methods Normal-dose (925–1110 MBq) clinical technetium 99 m-methyl diphosphonate (9
Externí odkaz:
https://doaj.org/article/934d1084dd4447a4ad6337acf8fc3de1
Autor:
Jingjia Chen, Nan-Jie Gong, Khallil Taverna Chaim, Maria Concepción García Otaduy, Chunlei Liu
Publikováno v:
NeuroImage, Vol 242, Iss , Pp 118477- (2021)
Purpose: A method named DECOMPOSE-QSM is developed to decompose bulk susceptibility measured with QSM into sub-voxel paramagnetic and diamagnetic components based on a three-pool complex signal model. Methods: Multi-echo gradient echo signal is model
Externí odkaz:
https://doaj.org/article/4fe796041a424064ac95a6e44e508bc3
Autor:
Nan Hu, ShaoHan Yin, Qiwen Li, Haoqiang He, Linchang Zhong, Nan-Jie Gong, Jinyu Guo, Peiqiang Cai, Chuanmiao Xie, Hui Liu, Bo Qiu
Publikováno v:
Frontiers in Oncology, Vol 10 (2021)
ObjectiveTo improve the assessment of primary tumor heterogeneity in magnetic resonance imaging (MRI) of non-small cell lung cancer (NSCLC), we proposed a method using basic measurements from T1- and T2-weighted MRI.MethodsOne hundred and four NSCLC
Externí odkaz:
https://doaj.org/article/cbea221d6f9345d0a48d5f40dc6cad9c
Autor:
Nan-Jie Gong, Samuel Kuzminski, Michael Clark, Melissa Fraser, Mark Sundman, Kevin Guskiewicz, Jeffrey R. Petrella, Chunlei Liu
Publikováno v:
Neurobiology of Disease, Vol 119, Iss , Pp 79-87 (2018)
Objectives: To probe microstructural changes that are associated with subconcussive head impact exposure in deep and cortical gray matter of high school football players over a single season. Methods: Players underwent diffusion kurtosis imaging (DKI
Externí odkaz:
https://doaj.org/article/60f65c84b8074d379605d5c2a404d10f
Autor:
Yao, Sun, Boyang, Pan, Qingchu, Li, JiaChen, Wang, Xiang, Wang, Honghua, Chen, Qing, Cao, Hui, Liu, Tao, Feng, Hongbiao, Sun, Yi, Xiao, Nan-Jie, Gong
Publikováno v:
Medical Physics.
Ultra-high resolution computed tomography (UHRCT) has shown great potential for the detection of pulmonary diseases. However, UHRCT scanning generally induces increases in scanning time and radiation exposure. Super resolution is a gradually prospero
Autor:
Na Qi, Boyang Pan, Qingyuan Meng, Yihong Yang, Huiqian Chen, Weilun Wang, Tao Feng, Hui Liu, Nan-Jie Gong, Jun Zhao
Background To evaluate clinical performance of deep learning enhanced ultra-fast SPECT/CT bone scan. Methods One hundred and two patients were enrolled in this retrospective study. The probable malignant tumor sites continuously underwent a 20min SPE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d3c54d2f93932e1c73e9e65aef738b2
https://doi.org/10.21203/rs.3.rs-2190739/v1
https://doi.org/10.21203/rs.3.rs-2190739/v1
Publikováno v:
In Clinical Imaging March-April 2014 38(2):179-186
Autor:
Cheng Xu, Jing Xue, Jonthan Tamir, Huanyu Luo, Tao Zhou, Fuqing Zhou, Nan-Jie Gong, Yunyun Duan, Srivathsa Pasumarthi Venkata, Greg Zaharchuk, Tao Zhang, Yaou Liu
Publikováno v:
European Radiology. 31:6419-6428
To evaluate the clinical performance of a deep learning (DL)–based method for brain MRI exams with reduced gadolinium-based contrast agent (GBCA) dose to provide better understanding of the readiness and limitations of this method. Eighty-three con
Publikováno v:
NMR in Biomedicine. 35
Quantitative susceptibility mapping (QSM) is used to quantify iron deposition in non-human primates in our study. Although QSM has many applications in detecting iron deposits in the human brain, including the distribution of iron deposits in specifi