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Recent Advances in ¹⁹Fluorine Magnetic Resonance Imaging with Perfluorocarbon Emulsions Review

Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza

Engineering 2015, Volume 1, Issue 4, Pages 475-489 doi: 10.15302/J-ENG-2015103

Abstract:

The research roots of ¹⁹fluorine (¹⁹F) magnetic resonance imaging (MRI) dateOver that time span, ¹H imaging flourished and was adopted worldwide with an endless arrayof applications and imaging approaches, making magnetic resonance an indispensable pillar of biomedicaldiagnostic imaging.In part, this is due to advances in MRI instrumentation, ¹⁹F/¹H coil designs, and

Keywords： fluorine magnetic resonance imaging (MRI) dual-tuned coil perfluorocarbon angiogenesis cell labeling

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Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magneticresonance imaging and omics

Frontiers of Medicine Pages 993-1005 doi: 10.1007/s11684-023-0989-7

Abstract: The functional magnetic resonance imaging (fMRI) data were analyzed for investigating brain changes induced

Keywords： acupuncture migraine fMRI metabolome proteome

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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

Frontiers of Medicine 2020, Volume 14, Issue 5, Pages 630-641 doi: 10.1007/s11684-019-0718-4

Abstract: Mesial temporal lobe epilepsy (mTLE), the most common type of focal epilepsy, is associated with functional and structural brain alterations. Machine learning (ML) techniques have been successfully used in discriminating mTLE from healthy controls. However, either functional or structural neuroimaging data are mostly used separately as input, and the opportunity to combine both has not been exploited yet. We conducted a multimodal ML study based on functional and structural neuroimaging measures. We enrolled 37 patients with left mTLE, 37 patients with right mTLE, and 74 healthy controls and trained a support vector ML model to distinguish them by using each measure and the combinations of the measures. For each single measure, we obtained a mean accuracy of 74% and 69% for discriminating left mTLE and right mTLE from controls, respectively, and 64% when all patients were combined. We achieved an accuracy of 78% by integrating functional data and 79% by integrating structural data for left mTLE, and the highest accuracy of 84% was obtained when all functional and structural measures were combined. These findings suggest that combining multimodal measures within a single model is a promising direction for improving the classification of individual patients with mTLE.

Keywords： mesial temporal lobe epilepsy functional magnetic resonance imaging structural magnetic resonance imaging

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High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Frontiers of Medicine 2010, Volume 4, Issue 3, Pages 294-302 doi: 10.1007/s11684-010-0092-8

Abstract: Diagnostic ultrasound is the first imaging modality used for guiding HIFU ablation.In 1997, a patient with osteosarcoma was first successfully treated with ultrasound imaging-guided HIFU, breast cancer, pancreatic cancer, bone tumors, and renal cancer have been treated with ultrasound imaging-guided

Keywords： high-intensity focused ultrasound (HIFU) ultrasound imaging-guided HIFU (USgHIFU) magnetic resonanceimaging-guided HIFU (MRgHIFU)

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in the Chinese paired-word associated learning and memory in healthy volunteers——a brain functional magneticresonance imaging study

Zheng Jinlong,Shu Siyun,Liu Songhao,Guo Zhouyi,Wu Yongming,Bao Xinmin,Zhang Zengqiang,Jin Mei,Ma Hanzhang

Strategic Study of CAE 2008, Volume 10, Issue 5, Pages 38-45

Abstract: mechanism of Chinese paired-word associated learning and memory in healthy volunteers by functional magneticresonance imaging (fMRI) technique. 16 right-handed normal volunteers participated in a test of paired-word

Keywords： functional magnetic resonance imaging (fMRI) of human brain paired-word language associated learning

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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

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12, Pages 1069-1087 doi: 10.1631/FITEE.1400423

Abstract: Recently, dictionary learning (DL) based methods have been introduced to compressed sensing magneticresonance imaging (CS-MRI), which outperforms pre-defined analytic sparse priors.framework to allow sparser representation and prominent hierarchical essential features capture for magneticresonance (MR) images.Simulation results demonstrate that the proposed method outperforms conventional CS-MRI methods in maintaining

Keywords： Compressed sensing (CS) Magnetic resonance imaging (MRI) Uniform discrete curvelet transform (UDCT)

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Iron oxide nanoparticle-based theranostics for cancer imaging and therapy

Xiaoqing REN,Hongwei CHEN,Victor YANG,Duxin SUN

Frontiers of Chemical Science and Engineering 2014, Volume 8, Issue 3, Pages 253-264 doi: 10.1007/s11705-014-1425-y

Abstract: studied, iron oxide nanoparticles have advantages since IONPs have good biocompatibility and spatial imagingThis review is focused on the IONP-based nanotheranostics for cancer imaging and treatment.progress for applications of IONP nanotheranostics is summarized, which includes IONP-based diagnosis, magneticresonance imaging (MRI), multimodal imaging, chemotherapy, hyperthermal therapy, photodynamic therapy

Keywords： theranostics iron oxide nanoparticles MRI drug delivery photothermal therapy photodynamic therapy

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Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models Review

Changde Du, Jinpeng Li, Lijie Huang, Huiguang He

Engineering 2019, Volume 5, Issue 5, Pages 948-953 doi: 10.1016/j.eng.2019.03.010

Abstract:

Brain encoding and decoding via functional magnetic resonance imaging (fMRI) are two important aspects

Keywords： Brain encoding and decoding Functional magnetic resonance imaging Deep neural networks Deep generative

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Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

Frontiers of Medicine 2013, Volume 7, Issue 1, Pages 4-13 doi: 10.1007/s11684-013-0248-4

Abstract:

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.

Keywords： metabolomics type 2 diabetes metabolic pathway mass spectrometry nuclear magnetic resonance (NMR)

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Copolymerization of 1-butene and 1-hexene with supported titanium catalyst

ZHAO Yongxian, SHAO Huafeng, WANG Bo, YAO Wei, HUANG Baochen

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 3, Pages 304-309 doi: 10.1007/s11705-007-0056-y

Abstract: The copolymer was analyzed with Fourier transform-infrared (FTIR) and nuclear magnetic resonance (H-NMR

Keywords： reaction conversion temperature polymerization temperature magnetic resonance

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Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2, Pages 222-225 doi: 10.1007/s11465-008-0028-z

Abstract: The magnetic leakage field distribution resulting from linear defects of a tube sample in the geomagneticfield is modeled according to the magnetic dipole theory.The formula to compute the normal component of the weak magnetic field is deduced based on the spatialdistribution of the magnetic dipole.The shape and characteristics of the zero line (an important criterion for magnetic memory testing) of

Keywords： geomagnetic theory important criterion magnetic leakage normal component

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Multi-harmonic forced vibration and resonance of simple beams to moving vehicles

Frontiers of Structural and Civil Engineering Pages 981-993 doi: 10.1007/s11709-023-0979-5

Abstract: of a linear elastic simple Euler–Bernoulli beam, and investigated the forced modal oscillation and resonanceThe analysis revealed that a moving load induces high-harmonic forced resonance amplification when theTo verify the occurrence of high-harmonic forced resonance, numerical tests were conducted on single-spanThe forced resonance amplification characteristics of the fundamental mode for beam response estimationThe results reveal that the high-harmonic forced resonance may be significant for the investigated beams

Keywords： forced vibration linear Euler beam moving load harmonic structure frequency modulation end restraints

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Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over

Li ZHOU, Yaojun GE

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 1, Pages 67-72 doi: 10.1007/s11709-009-0007-4

Abstract: It is necessary to study how vehicles influence the vortex-excited resonance of vehicle-bridge systems, because lock-in wind speed is low and vortex-excited resonance is sensitive to any change in the mainBased on the Shanghai Bridge over the Yangtse River, the vortex-excited resonance of a 1∶60 scale sectionalThe result indicates that: 1) for the bridge with vehicles, the vertical vortex-excited resonance isTherefore, the influence of vehicles on vortex-excited resonance performance of vehicle-bridge systems

Keywords： vehicle-bridge system sectional mode vortex-excited resonance wind tunnel test mode shape correction

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Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4, Pages 450-461 doi: 10.1007/s11465-009-0072-3

Abstract: This paper presents a method based on stochastic resonance (SR) to detect weak fault signal.

Keywords： extended stochastic resonance (SR) stability analysis of SR scale transform weak signal detection incipient

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evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Frontiers of Medicine 2014, Volume 8, Issue 4, Pages 471-476 doi: 10.1007/s11684-014-0365-8

Abstract:

This work aims to estimate the value of diffusion weighted imaging (DWI) and diffusion tensor imaging

Keywords： type 2 diabetes mellitus microalbuminuria diffusion weighted imaging diffusion tensor imaging early-stage

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Title Author Date Type Operation

Recent Advances in ¹⁹Fluorine Magnetic Resonance Imaging with Perfluorocarbon Emulsions

Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza

Journal Article

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magneticresonance imaging and omics

Journal Article

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

Journal Article

High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Journal Article

in the Chinese paired-word associated learning and memory in healthy volunteers——a brain functional magneticresonance imaging study

Zheng Jinlong,Shu Siyun,Liu Songhao,Guo Zhouyi,Wu Yongming,Bao Xinmin,Zhang Zengqiang,Jin Mei,Ma Hanzhang

Journal Article

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

Journal Article

Iron oxide nanoparticle-based theranostics for cancer imaging and therapy

Xiaoqing REN,Hongwei CHEN,Victor YANG,Duxin SUN

Journal Article

Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models

Changde Du, Jinpeng Li, Lijie Huang, Huiguang He

Journal Article

Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

Journal Article

Copolymerization of 1-butene and 1-hexene with supported titanium catalyst