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《医学前沿(英文)》 页码 993-1005 doi: 10.1007/s11684-023-0989-7
Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei
《医学前沿(英文)》 2020年 第14卷 第5期 页码 630-641 doi: 10.1007/s11684-019-0718-4
关键词: mesial temporal lobe epilepsy functional magnetic resonance imaging structural magnetic resonance imaging machine learning support vector machine
全氟化碳乳剂19F磁共振成像的最新进展 Review
Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza
《工程(英文)》 2015年 第1卷 第4期 页码 475-489 doi: 10.15302/J-ENG-2015103
19F磁共振成像(MRI) 的研究可追溯到30多年前。在这30多年间,氢原子核(1H)成像技术迅速发展,并在全球得到广泛应用,使得磁共振成像成为生物医学诊断成像技术中不可缺少的支柱。多年来,由于各种原因,对19F成像技术的研究进展缓慢。但是在过去的十年间,尤其是最近几年,19F成像的研究和临床相关性呈爆发式发展。部分原因归结为MRI仪器、19F/1H线圈设计以及临床前和临床核磁共振仪的超高速脉冲序列的发展。这些成就再加上对解剖生理学分子成像技术的兴趣以及一批创新造影剂的出现使19F的概念进入了早期的临床评估中。本篇综述重点探讨以液态全氟化碳化合物为基础的造影剂,并试图呈现这段丰富的研究和发展历史。
High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience
Lian ZHANG, Zhi-Biao WANG
《医学前沿(英文)》 2010年 第4卷 第3期 页码 294-302 doi: 10.1007/s11684-010-0092-8
关键词: high-intensity focused ultrasound (HIFU) ultrasound imaging-guided HIFU (USgHIFU) magnetic resonance imaging-guided HIFU (MRgHIFU)
参与中文配对词语联想学习记忆的脑区和神经机制——脑功能磁共振的研究
郑金龙,舒斯云,刘颂豪,郭周义,吴永明,包新民, 张增强,金梅,马翰章
《中国工程科学》 2008年 第10卷 第5期 页码 38-45
通过脑功能磁共振技术,研究健康人参与语言的词语配对联想学习记忆任务的脑区和神经机制。对16名右利手健康志愿者进行一项词语配对联想学习记忆任务作业的同时,进行脑功能磁共振扫描。实验采用组块设计,实验任务(包括记忆编码相和记忆提取相)与对照任务(共两个相)交替进行;数据采用SPM99软件进行数据分析和脑功能区定位。结果表明:左侧额叶,特别是左侧额叶的额中下回和枕叶的18,19区在词语联想学习记忆的编码阶段中起重要作用;而左侧顶上小叶、缘上回和角回则在进行记忆提取阶段起重要作用;左侧纹状体边缘区参与了人脑词语联想学习记忆作业的编码阶段。揭示了人大脑完成语言联想学习记忆任务时,除额、顶、枕和颞叶的皮层结构参与外,还新发现有皮层下结构如纹状体参与了词语联想学习记忆。在配对词语的编码和提取阶段,激活的脑区有所变化,显示了这两个语言阶段的神经活动变化机制。
Magnetic confinement fusion: a brief review
Chuanjun HUANG, Laifeng LI
《能源前沿(英文)》 2018年 第12卷 第2期 页码 305-313 doi: 10.1007/s11708-018-0539-1
关键词: fusion energy magnetic confinement tokamak structural material superconducting magnet
基于双向深度生成模型和功能磁共振成像数据的大脑编码和解码 Review
杜长德, 李劲鹏, 黄利皆, 何晖光
《工程(英文)》 2019年 第5卷 第5期 页码 948-953 doi: 10.1016/j.eng.2019.03.010
通过功能磁共振成像(fMRI)进行大脑编码和解码是视觉神经科学的两个重要方面。尽管以前的研究人员在大脑编码和解码模型方面取得了显著进步,但是现有方法仍需要使用先进的机器学习技术进行改进。例如,传统方法通常会分别构建编码和解码模型,并且容易对小型数据集过度拟合。实际上,有效地统一编码和解码过程可以进行更准确的预测。在本文中,我们首先回顾了现有的编码和解码方法,并讨论了“双向”建模策略的潜在优势。接下来,在体系结构和计算规则方面,我们证明了深度神经网络和人类视觉通路之间存在的对应关系。此外,深度生成模型[如变分自编码器(VAE)和生成对抗网络(GAN)]在大脑编码和解码研究中产生了可喜的成果。最后,我们提出了最初为机器翻译任务设计的对偶学习方法,该方法通过利用大规模未配对数据提高了编码和解码模型的效果。
Metabolomics in human type 2 diabetes research
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《医学前沿(英文)》 2013年 第7卷 第1期 页码 4-13 doi: 10.1007/s11684-013-0248-4
The high prevalence of diabetes and diabetic complications has caused a huge burden on the modern society. Although scientific advances have led to effective strategies for preventing and treating diabetes over the past several decades, little progress has been made toward curing the disease or even getting it under control, from a public health and overall societal standpoint. There is still a lack of reliable biomarkers indicative of metabolic alterations associated with diabetes and different drug responses, highlighting the need for the development of early diagnostic and prognostic markers for diabetes and diabetic complications. The emergence of metabolomics has allowed researchers to systemically measure the small molecule metabolites, which are sensitive to the changes of both environmental and genetic factors and therefore, could be regarded as the link between genotypes and phenotypes. During the last decade, the progression made in metabolomics has provided insightful information on disease development and disease onset prediction. Recent studies using metabolomics approach coupled with statistical tools to predict incident diabetes revealed a number of metabolites that are significantly altered, including branched-chain and aromatic amino acids, such as isoleucine, leucine, valine, tyrosine and phenylalanine, as diagnostic or highly-significant predictors of future diabetes. This review summarizes the current findings of metabolomic studies in human investigations with the most common form of diabetes, type 2 diabetes.
关键词: metabolomics type 2 diabetes metabolic pathway mass spectrometry nuclear magnetic resonance (NMR)
Copolymerization of 1-butene and 1-hexene with supported titanium catalyst
ZHAO Yongxian, SHAO Huafeng, WANG Bo, YAO Wei, HUANG Baochen
《化学科学与工程前沿(英文)》 2007年 第1卷 第3期 页码 304-309 doi: 10.1007/s11705-007-0056-y
关键词: reaction conversion temperature polymerization temperature magnetic resonance
Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG
《信息与电子工程前沿(英文)》 2015年 第16卷 第12期 页码 1069-1087 doi: 10.1631/FITEE.1400423
关键词: Compressed sensing (CS) Magnetic resonance imaging (MRI) Uniform discrete curvelet transform (UDCT) Multi-scale dictionary learning (MSDL) Patch-based constraint splitting augmented Lagrangian shrinkage algorithm (PB C-SALSA)
Modeling and analysis of magnetic dipoles in weak magnetic field
WANG Zhaoxia, ZHANG Weimin, LIU Hongguang
《机械工程前沿(英文)》 2008年 第3卷 第2期 页码 222-225 doi: 10.1007/s11465-008-0028-z
关键词: geomagnetic theory important criterion magnetic leakage normal component
Multi-harmonic forced vibration and resonance of simple beams to moving vehicles
《结构与土木工程前沿(英文)》 页码 981-993 doi: 10.1007/s11709-023-0979-5
关键词: forced vibration linear Euler beam moving load harmonic structure frequency modulation end restraints
Li ZHOU, Yaojun GE
《结构与土木工程前沿(英文)》 2009年 第3卷 第1期 页码 67-72 doi: 10.1007/s11709-009-0007-4
关键词: vehicle-bridge system sectional mode vortex-excited resonance wind tunnel test mode shape correction
Extended stochastic resonance (SR) and its applications in weak mechanical signal processing
Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,
《机械工程前沿(英文)》 2009年 第4卷 第4期 页码 450-461 doi: 10.1007/s11465-009-0072-3
关键词: extended stochastic resonance (SR) stability analysis of SR scale transform weak signal detection incipient fault detection envelope analysis
evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2
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《医学前沿(英文)》 2014年 第8卷 第4期 页码 471-476 doi: 10.1007/s11684-014-0365-8
This work aims to estimate the value of diffusion weighted imaging (DWI) and diffusion tensor imaging (DTI) in detecting early-stage kidney injury in type 2 diabetic patients with normoalbuminuria (NAU) versus microalbuminuria (MAU) prospectively. A total of 30 T2DM patients with normal kidney function were recruited and assigned to the NAU group (n = 14) or MAU group (n= 16) according to 8 h overnight urinary albuminuria excretion rate (AER) results. A contemporary cohort of health check-up recipients were included as controls (n = 12). DWI and DTI scans were performed on bilateral kidney using SE single-shot EPI, and apparent diffusion coefficient (ADC) and fractional anisotropy (FA) of the renal parenchyma was determined from ADC and FA maps of the three groups. ADC and FA values were compared among the three groups. According to DWI with a b value of 400 s/mm2, the MAU and NAU groups showed significantly lowered mean ADC values compared with the healthy controls (P<0.01). The mean ADC in the MAU group [(2.22±0.07)×10–3 mm2/s] was slightly lower than that of the NAU group [(2.31±0.22)×10–3 mm2/s], but this difference was not statistically significant (P>0.05). The FA value in the MAU group was higher than that in the control group (0.45±0.07 vs. 0.39±0.03, P = 0.004) but did not differ from that in the NAU group (0.42±0.03) (P>0.05). ADC and FA values may be more sensitive than urine AER in reflecting early-stage kidney injury and, hence, may facilitate earlier detection and quantitative evaluation of kidney injury in T2DM patients. Combined evaluation of ADC and FA values may provide a better quantitative approach for identifying diabetic nephropathy at early disease stages.
关键词: type 2 diabetes mellitus microalbuminuria diffusion weighted imaging diffusion tensor imaging early-stage kidney injury
标题 作者 时间 类型 操作
Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magneticresonance imaging and omics
期刊论文
Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging
Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei
期刊论文
全氟化碳乳剂19F磁共振成像的最新进展
Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza
期刊论文
High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience
Lian ZHANG, Zhi-Biao WANG
期刊论文
Copolymerization of 1-butene and 1-hexene with supported titanium catalyst
ZHAO Yongxian, SHAO Huafeng, WANG Bo, YAO Wei, HUANG Baochen
期刊论文
Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based constraint splitting augmented Lagrangian shrinkage algorithm
Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG
期刊论文
Modeling and analysis of magnetic dipoles in weak magnetic field
WANG Zhaoxia, ZHANG Weimin, LIU Hongguang
期刊论文
Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over
Li ZHOU, Yaojun GE
期刊论文
Extended stochastic resonance (SR) and its applications in weak mechanical signal processing
Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,
期刊论文