Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yonghua CHU"'
Publikováno v:
Zhongguo yiliao qixie zazhi, Vol 48, Iss 3, Pp 264-270 (2024)
First of all, the overall framework of 3D printing is briefly introduced, including the basic principles of the additive manufacturing process, the classification and summary of the seven processes. Secondly, the common negative Poisson’s ratio str
Externí odkaz:
https://doaj.org/article/21f8367ea31a40eb82ecb32697c53778
Early diagnosis of coronary microvascular dysfunction by myocardial contrast stress echocardiography
Autor:
Jucheng Zhang, Minwen Ma, Huajun Li, Zhaoxia Pu, Haipeng Liu, Tianhai Huang, Huan Cheng, Yinglan Gong, Yonghua Chu, Zhikang Wang, Jun Jiang, Ling Xia
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 7845-7858 (2023)
Coronary microvascular dysfunction (CMD) is one of the basic mechanisms of myocardial ischemia. Myocardial contrast echocardiography (MCE) is a bedside technique that utilises microbubbles which remain entirely within the intravascular space and deno
Externí odkaz:
https://doaj.org/article/f49fdce90680429db091f1e32f918834
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 2081-2093 (2023)
Myocardial contrast echocardiography (MCE) has been proposed as a method to assess myocardial perfusion for the detection of coronary artery diseases in a non-invasive way. As a critical step of automatic MCE perfusion quantification, myocardium segm
Externí odkaz:
https://doaj.org/article/0bf6001a9c814057a86949c59dbaef38
Autor:
Jucheng Zhang, Lulu Han, Jianzhong Sun, Zhikang Wang, Wenlong Xu, Yonghua Chu, Ling Xia, Mingfeng Jiang
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Purpose Compressed Sensing Magnetic Resonance Imaging (CS-MRI) is a promising technique to accelerate dynamic cardiac MR imaging (DCMRI). For DCMRI, the CS-MRI usually exploits image signal sparsity and low-rank property to reconstruct dynam
Externí odkaz:
https://doaj.org/article/dea48bbfe75b4fa68851907567f9889d
Autor:
Jucheng Zhang, Yonghua Chu, Wenhong Ding, Liyi Kang, Ling Xia, Sanjay Jaiswal, Zhikang Wang, Zhifeng Chen
Publikováno v:
BMC Medical Imaging, Vol 19, Iss 1, Pp 1-10 (2019)
Abstract Background One of the major limitations of MRI is its slow acquisition speed. To accelerate data acquisition, partially parallel imaging (PPI) methods have been widely used in clinical applications such as sensitivity encoding (SENSE) and ge
Externí odkaz:
https://doaj.org/article/2b1fb9955df043eda336def3a4eeac92
Publikováno v:
Mathematical Biosciences and Engineering. 20:2081-2093
Myocardial contrast echocardiography (MCE) has been proposed as a method to assess myocardial perfusion for the detection of coronary artery diseases in a non-invasive way. As a critical step of automatic MCE perfusion quantification, myocardium segm
Publikováno v:
IEEE Sensors Journal. 21:26023-26032
Correct and continuous weight measurement of a burn patient is important for fluid resuscitation. Generally, a body weight bed uses four sensors to obtain signals. However, owing to signals dynamic characteristics, the air fluidized therapy bed has a
Autor:
Jiali Liang, Xiaohu Zhao, Qian Xi, Yunfei Li, Sisi Zhang, Hao Liu, Jianping Ye, Yonghua Chu, Meimei Wang
Publikováno v:
Aging (Albany NY)
Numerous studies have investigated the differences in the mean functional connectivity (FC) strength between amnestic mild cognitive impairment (aMCI) patients and normal subjects using resting-state functional magnetic resonance imaging. However, wh
Publikováno v:
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation. 45(6)
Ramping-up is the magnet current injection procedure which is under the control of resistance, voltage, current lead temperature, magnet pressure, temperature and so on. In this procedure, the factors related to the stability of the magnet such as, m
Publikováno v:
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation. 45(6)
In order to solve the problem of continuous monitoring and automatic regulation of patient airbag pressure in intensive care unit, the study designed an intelligent management system of artificial airway airbag pressure. It can realize real-time moni