Feasibility of Quantitative Intrahepatic Lipid Imaging Applied to the Magnetic Resonance Dual Gradient Echo Sequence
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概要
- 論文の詳細を見る
The quantification of intrahepatic lipids (IHLs) has attracted a great deal of interest pertaining to diagnostic treatment of type 2 diabetes mellitus. We report on an innovative approach to visualizing IHLs quantitatively by creating the best mix of the advantages of proton magnetic resonance spectroscopy (MRS) and the gradient echo (GRE) sequence on a 1.5T MR system. Proton MRS is considered to have the best precision and reliability; however, measuring a single voxel is time-consuming. On the other hand, the GRE sequence can provide information on IHLs, at least not quantitative, in a very short time. IHL images can be created from the correlation between the relative content of IHLs obtained with proton MRS and the signal intensity of GRE images with a very high correlation coefficient (R=0.992). Our approach holds great potential for quantifying fat accumulation in every possible tissue quickly and precisely.
- 日本磁気共鳴医学会の論文
- 2003-04-01
著者
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KAJI Yasushi
Department of Radiology, Dokkyo University School of Medicine
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SUGIMURA Kazuro
Department of Radiology, Kobe University Graduate School of Medicine
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Kaji Yasushi
Department Of Radiology Kobe University Graduate School Of Medicine
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Sugimura Kazuro
Department Of Radiology Kobe University Graduate School Of Medicine
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Kawamitsu Hideaki
Radiology Division Kobe University Hospital
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Ohara Takeshi
Department Of Clinical Molecular Medicine Division Of Diabetes Digestive And Kidney Diseases Kobe Un
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Kaji Yasushi
Department Of Radiology Dokkyo Medical University School Of Medicine
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Sugimura Kazuro
Department Of Radiology Kobe Graduate School Of Medicine
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Ohara Takeshi
Department Of Biochemistry And Molecular Biology Research Institute For Microbial Diseases Osaka Uni
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Kaji Yasushi
Department Of Radiology Dokkyo Medical University
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Sugimura Kazuro
Department Of Pet Diagnosis Institute Of Biomedical Research And Innovation
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SUGIMURA Kazuro
Department of Biomedical Informatics, Division of Radiology, Kobe University Graduate School of Medicine
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KAJI Yasushi
Department of Biomedical Informatics, Division of Radiology, Kobe University Graduate School of Medicine
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Ohara Takeshi
Department of Applied Chemistry, Faculty of Engineering, Osaka University
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