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題名 Fast Mapping of T2 Relaxation Time of Cerebral Metabolites using Proton-Echo-Planar-Spectroscopic-Imaging (PEPSI) 作者 蔡尚岳
Tsai, Shang-Yueh貢獻者 應物所 關鍵詞 proton echo-planar spectroscopic imaging;single-voxel spectroscopy;T2 relaxation time;cerebral metabolites;gray/white matter difference 日期 2007.05 上傳時間 1-May-2014 17:47:30 (UTC+8) 摘要 Metabolite T2 is necessary for accurate quantification of the absolute concentration of metabolites using long-echo-time (TE) acquisition schemes. However, lengthy data acquisition times pose a major challenge to mapping metabolite T2. In this study we used proton echo-planar spectroscopic imaging (PEPSI) at 3T to obtain fastT2 maps of three major cerebral metabolites: N-acetyl-aspartate (NAA), creatine (Cre), and choline (Cho). We showed that PEPSI spectra matched T2 values obtained using single-voxel spectroscopy (SVS). Data acquisition for 2D metabolite maps with a voxel volume of 0.95 ml (32 × 32 image matrix) can be completed in 25 min using five TEs and eight averages. A sufficient spectral signal-to-noise ratio (SNR) for T2 estimation was validated by high Pearson`s correlation coefficients between logarithmic MR signals and TEs (R2 = 0.98, 0.97, and 0.95 for NAA, Cre, and Cho, respectively). In agreement with previous studies, we found that the T2values of NAA, but not Cre and Cho, were significantly different between gray matter (GM) and white matter (WM; P < 0.001). The difference between the T2 estimates of the PEPSI and SVS scans was less than 9%. Consistent spatial distributions of T2 were found in six healthy subjects, and disagreement among subjects was less than 10%. In summary, the PEPSI technique is a robust method to obtain fast mapping of metabolite T2. Magn Reson Med 57:859–865, 2007. © 2007 Wiley-Liss, Inc. 關聯 Magn Reson Med, 57(5), 859-865 資料類型 article dc.contributor 應物所 en_US dc.creator (作者) 蔡尚岳 zh_TW dc.creator (作者) Tsai, Shang-Yueh en_US dc.date (日期) 2007.05 en_US dc.date.accessioned 1-May-2014 17:47:30 (UTC+8) - dc.date.available 1-May-2014 17:47:30 (UTC+8) - dc.date.issued (上傳時間) 1-May-2014 17:47:30 (UTC+8) - dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/65802 - dc.description.abstract (摘要) Metabolite T2 is necessary for accurate quantification of the absolute concentration of metabolites using long-echo-time (TE) acquisition schemes. However, lengthy data acquisition times pose a major challenge to mapping metabolite T2. In this study we used proton echo-planar spectroscopic imaging (PEPSI) at 3T to obtain fastT2 maps of three major cerebral metabolites: N-acetyl-aspartate (NAA), creatine (Cre), and choline (Cho). We showed that PEPSI spectra matched T2 values obtained using single-voxel spectroscopy (SVS). Data acquisition for 2D metabolite maps with a voxel volume of 0.95 ml (32 × 32 image matrix) can be completed in 25 min using five TEs and eight averages. A sufficient spectral signal-to-noise ratio (SNR) for T2 estimation was validated by high Pearson`s correlation coefficients between logarithmic MR signals and TEs (R2 = 0.98, 0.97, and 0.95 for NAA, Cre, and Cho, respectively). In agreement with previous studies, we found that the T2values of NAA, but not Cre and Cho, were significantly different between gray matter (GM) and white matter (WM; P < 0.001). The difference between the T2 estimates of the PEPSI and SVS scans was less than 9%. Consistent spatial distributions of T2 were found in six healthy subjects, and disagreement among subjects was less than 10%. In summary, the PEPSI technique is a robust method to obtain fast mapping of metabolite T2. Magn Reson Med 57:859–865, 2007. © 2007 Wiley-Liss, Inc. en_US dc.format.extent 465901 bytes - dc.format.mimetype application/pdf - dc.language.iso en_US - dc.relation (關聯) Magn Reson Med, 57(5), 859-865 en_US dc.subject (關鍵詞) proton echo-planar spectroscopic imaging;single-voxel spectroscopy;T2 relaxation time;cerebral metabolites;gray/white matter difference en_US dc.title (題名) Fast Mapping of T2 Relaxation Time of Cerebral Metabolites using Proton-Echo-Planar-Spectroscopic-Imaging (PEPSI) en_US dc.type (資料類型) article en
