Xingxing Niu, Zhiqun Bai, Y. Yang, Yangwen Gao, Xuelu Wang, Yefeng Yao
{"title":"A Quantitative Study of Photocatalytic Reduction of Cr(VI) by Operando Low-Field NMR Relaxometry","authors":"Xingxing Niu, Zhiqun Bai, Y. Yang, Yangwen Gao, Xuelu Wang, Yefeng Yao","doi":"10.11938/CJMR20202815","DOIUrl":"https://doi.org/10.11938/CJMR20202815","url":null,"abstract":"","PeriodicalId":10063,"journal":{"name":"Chinese Journal of Magnetic Resonance","volume":"38 1","pages":"403-413"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42355471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yingshun Hu, Yuewei Cai, Xuxia Wang, Siwei Liu, Y. Kang, H. Lei, F. Lin
{"title":"Magnetic Resonance Imaging the Brain Structures Involved in Nicotine Susceptibility in Rats","authors":"Yingshun Hu, Yuewei Cai, Xuxia Wang, Siwei Liu, Y. Kang, H. Lei, F. Lin","doi":"10.11938/CJMR20212890","DOIUrl":"https://doi.org/10.11938/CJMR20212890","url":null,"abstract":"","PeriodicalId":10063,"journal":{"name":"Chinese Journal of Magnetic Resonance","volume":"38 1","pages":"345-355"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49513928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xin-yi Zhao, Dong Han, Hongwen Luo, W. Shen, Gong-jun Yang
{"title":"Spectroscopic Studies of Delafloxacin Meglumine","authors":"Xin-yi Zhao, Dong Han, Hongwen Luo, W. Shen, Gong-jun Yang","doi":"10.11938/CJMR20202855","DOIUrl":"https://doi.org/10.11938/CJMR20202855","url":null,"abstract":"","PeriodicalId":10063,"journal":{"name":"Chinese Journal of Magnetic Resonance","volume":"38 1","pages":"268-276"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48153846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lei Jiang, Yang Fu, Wenna Guo, Guo Zheng, Qiang Wang
{"title":"Nuclear Magnetic Resonance Assignment and Crystal Structure of 3, 22-Dihydroxyhopane","authors":"Lei Jiang, Yang Fu, Wenna Guo, Guo Zheng, Qiang Wang","doi":"10.11938/CJMR20202840","DOIUrl":"https://doi.org/10.11938/CJMR20202840","url":null,"abstract":"","PeriodicalId":10063,"journal":{"name":"Chinese Journal of Magnetic Resonance","volume":"38 1","pages":"255-267"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48400587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic Segmentation of Right Ventricle in Cine Cardiac Magnetic Resonance Image Based on a Dense and Multi-Scale U-net Method","authors":"Liu Peng, Zhong Yu-min, Wang Li-jia","doi":"10.11938/CJMR20192794","DOIUrl":"https://doi.org/10.11938/CJMR20192794","url":null,"abstract":"","PeriodicalId":10063,"journal":{"name":"Chinese Journal of Magnetic Resonance","volume":"37 1","pages":"456-468"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42525138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Automatic metabolite quantification with curve fitting is essential in analyzing large amount of in vivo magnetic resonance spectroscopic imaging (MRSI) data. However, such data analysis is usually hindered by distorted metabolite peaks and baselines normally seen in in vivo MRS. In the present study, a multiscale approach was utilized for peak-specific automatic phase correction in multi-slice MRSI data of human brain. The results suggest that this novel approach can improve the robustness and efficiency of metabolite quantification and facilitate automatic analysis of multi-slice in vivo MRSI data in human brain.
{"title":"Peak-specific phase correction for automated spectrum processing of <i>in vivo</i> magnetic resonance spectroscopic imaging by using the multiscale approach.","authors":"Xiaodong Zhang, Xiaoping Hu","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Automatic metabolite quantification with curve fitting is essential in analyzing large amount of <i>in vivo</i> magnetic resonance spectroscopic imaging (MRSI) data. However, such data analysis is usually hindered by distorted metabolite peaks and baselines normally seen in <i>in vivo</i> MRS. In the present study, a multiscale approach was utilized for peak-specific automatic phase correction in multi-slice MRSI data of human brain. The results suggest that this novel approach can improve the robustness and efficiency of metabolite quantification and facilitate automatic analysis of multi-slice <i>in vivo</i> MRSI data in human brain.</p>","PeriodicalId":10063,"journal":{"name":"Chinese Journal of Magnetic Resonance","volume":"31 1","pages":"32-39"},"PeriodicalIF":0.0,"publicationDate":"2014-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032223/pdf/nihms579003.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32366691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guang-Liang Ding, Michael Chopp, Lian Li, Li Zhang, Zheng-Gang Zhang, Qing-Jiang Li, Quan Jiang
Magnetic resonance imaging (MRI) is now a routine neuroimaging tool in the clinic. Throughout all phases of stroke from acute to chronic, MRI plays an important role to diagnose, evaluate and monitor the cerebral tissue undergoing stroke. This review provides a description of various MRI methods and an overview of selected MRI studies, with an embolic stroke model of rat, performed in the MRI laboratory of Department of Neurology, Henry Ford Hospital, Detroit, Michigan, US.
{"title":"Magnetic Resonance Imaging of Stroke in the Rat.","authors":"Guang-Liang Ding, Michael Chopp, Lian Li, Li Zhang, Zheng-Gang Zhang, Qing-Jiang Li, Quan Jiang","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Magnetic resonance imaging (MRI) is now a routine neuroimaging tool in the clinic. Throughout all phases of stroke from acute to chronic, MRI plays an important role to diagnose, evaluate and monitor the cerebral tissue undergoing stroke. This review provides a description of various MRI methods and an overview of selected MRI studies, with an embolic stroke model of rat, performed in the MRI laboratory of Department of Neurology, Henry Ford Hospital, Detroit, Michigan, US.</p>","PeriodicalId":10063,"journal":{"name":"Chinese Journal of Magnetic Resonance","volume":"31 1","pages":"116-132"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4049345/pdf/nihms580130.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32418816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amide proton transfer (APT) imaging is a novel molecular MRI technique that generates image contrast based on endogenous cellular proteins in tissue. Theoretically, the APT-MRI signal depends primarily on the mobile amide proton concentration and amide proton exchange rates (which are related to tissue pH). The APT technique has been used for non-invasive pH imaging in stroke (where pH drops) and protein content imaging in tumor (where many proteins are overexpressed). Notably, it has been recently demonstrated in animal models that the APT-MRI signal is a unique imaging biomarker to distinguish between radiation necrosis and active tumor. In this paper, we will briefly introduce the basic principle of APT imaging and review its current successful applications for the imaging of stroke and the imaging of brain tumors in animal models and in patients.
{"title":"Molecular Imaging Using Endogenous Cellular Proteins.","authors":"Zhou Jinyuan, Hong Xiaohua","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Amide proton transfer (APT) imaging is a novel molecular MRI technique that generates image contrast based on endogenous cellular proteins in tissue. Theoretically, the APT-MRI signal depends primarily on the mobile amide proton concentration and amide proton exchange rates (which are related to tissue pH). The APT technique has been used for non-invasive pH imaging in stroke (where pH drops) and protein content imaging in tumor (where many proteins are overexpressed). Notably, it has been recently demonstrated in animal models that the APT-MRI signal is a unique imaging biomarker to distinguish between radiation necrosis and active tumor. In this paper, we will briefly introduce the basic principle of APT imaging and review its current successful applications for the imaging of stroke and the imaging of brain tumors in animal models and in patients.</p>","PeriodicalId":10063,"journal":{"name":"Chinese Journal of Magnetic Resonance","volume":"30 3","pages":"307-321"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4176899/pdf/nihms-441495.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32707086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Furong Ye, Eun-Kee Jeong, Denis Parker, Zheng-Rong Lu
A peptide targeted contrast agent, CLT1-(Gd-DTPA), was investigated for molecular imaging of fibrin-fibronectin complexes in tumor stroma with magnetic resonance imaging (MRI). The contrast agent was evaluated in female nude mice bearing MDA-MB-231 human breast carcinoma xenografts on a Siemens 3T clinical scanner with a clinical agent Gd(DTPA-BMA) as a non-targeted control. CLT1-(Gd-DTPA) specifically bound to tumor tissue and resulted in significant tumor contrast enhancement at a dose of 0.05 mmol/kg for at least 60 minutes after injection. In contrast, a non-targeted contrast agent, Gd(DTPA-BMA), cleared rapidly from the body with little tumor enhancement after 30 minutes post-injection at a dose of 0.1 mmol/kg. CLT1-(Gd-DTPA) had little non-specific binding in blood and normal tissues, including the liver and muscle, resulting in comparable non-specific enhancement in normal tissues as the control agent. The study has shown that CLT1-(Gd-DTPA) can bind to the tumor tissue, resulting in significant tumor enhancement in a mouse breast cancer model. The targeted contrast agent has a potential for MR molecular imaging of breast cancer.
{"title":"Evaluation of CLT1-(Gd-DTPA) for Cancer MR Molecular Imaging in a Mouse Breast Cancer Model.","authors":"Furong Ye, Eun-Kee Jeong, Denis Parker, Zheng-Rong Lu","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>A peptide targeted contrast agent, CLT1-(Gd-DTPA), was investigated for molecular imaging of fibrin-fibronectin complexes in tumor stroma with magnetic resonance imaging (MRI). The contrast agent was evaluated in female nude mice bearing MDA-MB-231 human breast carcinoma xenografts on a Siemens 3T clinical scanner with a clinical agent Gd(DTPA-BMA) as a non-targeted control. CLT1-(Gd-DTPA) specifically bound to tumor tissue and resulted in significant tumor contrast enhancement at a dose of 0.05 mmol/kg for at least 60 minutes after injection. In contrast, a non-targeted contrast agent, Gd(DTPA-BMA), cleared rapidly from the body with little tumor enhancement after 30 minutes post-injection at a dose of 0.1 mmol/kg. CLT1-(Gd-DTPA) had little non-specific binding in blood and normal tissues, including the liver and muscle, resulting in comparable non-specific enhancement in normal tissues as the control agent. The study has shown that CLT1-(Gd-DTPA) can bind to the tumor tissue, resulting in significant tumor enhancement in a mouse breast cancer model. The targeted contrast agent has a potential for MR molecular imaging of breast cancer.</p>","PeriodicalId":10063,"journal":{"name":"Chinese Journal of Magnetic Resonance","volume":"2 5","pages":"325-330"},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3894819/pdf/nihms-438646.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32053684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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