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  Quantitative magnetization transfer imaging using balanced SSFP

Gloor, M., Scheffler, K., & Bieri, O. (2008). Quantitative magnetization transfer imaging using balanced SSFP. Magnetic Resonance in Medicine, 60(3), 691–700. doi:10.1002/mrm.21705.

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資料種別: 学術論文

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 作成者:
Gloor, M, 著者
Scheffler, K1, 著者           
Bieri, O, 著者
所属:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 要旨: It is generally accepted that signal formation in balanced steady-state free precession (bSSFP) is a simple function of relaxation times and flip angle only. This can be confirmed for fluids, but for more complex substances, magnetization transfer (MT) can lead to a considerable loss of steady-state signal. Thus, especially in tissues, the analytical description of bSSFP requires a revision to fully take observed effects into account. In the first part of this work, an extended bSSFP signal equation is derived based on a binary spin-bath model. Based on this new model of bSSFP signal formation, quantitative MT parameters such as the fractional pool size, corresponding magnetization exchange rates, and relaxation times can be explored. In the second part of this work, model parameters are derived in normal appearing human brain. Factors that may influence the quality of the model, such as B1 field inhomogeneities or off-resonances, are discussed. Overall, good correspondence between parameters derived from two-pool bSSFP and common quantitative MT models is observed. Short repetition times in combination with high signal-to-noise ratios make bSSFP an ideal candidate for the acquisition of high resolution isotropic quantitative MT maps, as for the human brain, within clinically feasible acquisition times.

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 日付: 2008-09
 出版の状態: 出版
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 識別子(DOI, ISBNなど): URI: http://onlinelibrary.wiley.com/doi/10.1002/mrm.21705/pdf
DOI: 10.1002/mrm.21705
BibTex参照ID: GloorSB2008
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出版物名: Magnetic Resonance in Medicine
種別: 学術雑誌
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出版社, 出版地: -
ページ: - 巻号: 60 (3) 通巻号: - 開始・終了ページ: 691–700 識別子(ISBN, ISSN, DOIなど): -