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Dynamic residual Kaczmarz method for noise reducing reconstruction in magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 14, 页码: 17
作者:  Zhang, Peng;  Liu, Jie;  Li, Yimeng;  Zhu, Tao;  Yin, Lin;  An, Yu;  Zhong, Jing;  Hui, Hui;  Tian, Jie
收藏  |  浏览/下载：161/0  |  提交时间：2023/11/17
magnetic particle imaging  reconstruction method  inverse problem  
Weighted sum of harmonic signals for direct imaging in magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 1, 页码: 13
作者:  Liu, Yanjun;  Hui, Hui;  Liu, Sijia;  Li, Guanghui;  Zhang, Bo;  Zhong, Jing;  An, Yu;  Tian, Jie
收藏  |  浏览/下载：288/0  |  提交时间：2023/02/22
magnetic particle imaging  short-time fourier transform  direct imaging  multi-patch imaging  
Modified Jiles-Atherton Model for Dynamic Magnetization in X-Space Magnetic Particle Imaging 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2023, 卷号: 70, 期号: 7, 页码: 2035-2045
作者:  Li, Yimeng;  Hui, Hui;  Zhang, Peng;  Zhong, Jing;  Yin, Lin;  Zhang, Haoran;  Zhang, Bo;  An, Yu;  Tian, Jie
收藏  |  浏览/下载：122/0  |  提交时间：2023/11/17
Dynamic magnetization  Magnetic particle imaging  modified Jiles-Ather ton model  X-space reconstruction algorithm  
System matrix recovery based on deep image prior in magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 3, 页码: 14
作者:  Yin, Lin;  Guo, Hongbo;  Zhang, Peng;  Li, Yimeng;  Hui, Hui;  Du, Yang;  Tian, Jie
收藏  |  浏览/下载：272/0  |  提交时间：2023/03/20
magnetic particle imaging  deep image prior  system matrix recovery  
In Vivo Measurement of Cerebral SPIO Concentration in Nonhuman Primate Using Magnetic Particle Imaging Detector 期刊论文
IEEE MAGNETICS LETTERS, 2023, 卷号: 14, 页码: 5
作者:  Hui, Hui;  Liu, Jiaojiao;  Zhang, Hui;  Zhong, Jing;  He, Jie;  Zhang, Bo;  Zhang, Haoran;  Li, Qin;  Li, Hongjun;  Tian, Jie
收藏  |  浏览/下载：101/0  |  提交时间：2023/11/17
Magnetic instruments  cerebral blood volume  magnetic particle imaging  nonhuman primate  superparamagnetic iron oxide nanoparticles  
A Streamlined 3-D Magnetic Particle Imaging System With a Two-Stage Excitation Feed-Through Compensation Strategy 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 1-10
作者:  Yin L(尹琳);  Li W(李玮);  Bian ZW(卞忠伟);  Chen ZW(陈梓威);  Liu YJ(刘晏君);  Zhong J(钟景);  Zhang SX(张水兴);  Du Y(杜洋);  Hui H(惠辉);  Tian J(田捷)
Adobe PDF(3893Kb)  |  收藏  |  浏览/下载：21/6  |  提交时间：2024/03/26
3-D imaging  compensation strategy  magnetic particle imaging (MPI)  
The Detection of Divalent Iron and Reactive Oxygen Species During Ferroptosis with the Use of a Dual-Reaction Turn-On Fluorescent Probe 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2022, 页码: 12
作者:  Wang, Yueqi;  Li, Changjian;  Zhuo, Jiaming;  Hui, Hui;  Zhou, Bing;  Tian, Jie
Adobe PDF(1924Kb)  |  收藏  |  浏览/下载：316/90  |  提交时间：2022/11/14
Dual-reaction  Fe(II)  Ferroptosis  Fluorescent probes  ROS  Turn-on response  
Deep learning for improving the spatial resolution of magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2022, 卷号: 67, 期号: 12, 页码: 14
作者:  Shang, Yaxin;  Liu, Jie;  Zhang, Liwen;  Wu, Xiangjun;  Zhang, Peng;  Yin, Lin;  Hui, Hui;  Tian, Jie
收藏  |  浏览/下载：234/0  |  提交时间：2022/07/25
deep learning  magnetic particle imaging  spatial resolution  superparamagnetic iron oxide nanoparticles  
Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics 期刊论文
BMC Medical Imaging, 2020, 卷号: 20, 期号: 1, 页码: 11
作者:  Su,Jie-hua;  Meng,Ling-wei;  Dong,Di;  Zhuo,Wen-yan;  Wang,Jian-ming;  Liu,Li-bin;  Qin,Yi;  Tian,Ye;  Tian,Jie;  Li,Zhao-hui
收藏  |  浏览/下载：257/0  |  提交时间：2020/07/20
Stroke  Infarction  Radiomics  Tomography  X-ray computed  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
浏览  |  Adobe PDF(2315Kb)  |  收藏  |  浏览/下载：286/45  |  提交时间：2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography