2008
DOI: 10.1002/mrm.21705
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Quantitative magnetization transfer imaging using balanced SSFP

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Cited by 133 publications
(280 citation statements)
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References 32 publications
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“…binary spin-bath model) as described in detail elsewhere (9)(10)(11)(12). In contrast to common MT prepared SPGR methods, the RF pulse train used for imaging is responsible for the MT effect with bSSFP.…”
Section: Two-pool Bloch Simulationmentioning
confidence: 99%
“…binary spin-bath model) as described in detail elsewhere (9)(10)(11)(12). In contrast to common MT prepared SPGR methods, the RF pulse train used for imaging is responsible for the MT effect with bSSFP.…”
Section: Two-pool Bloch Simulationmentioning
confidence: 99%
“…In contrast to quantitative MT imaging, where finite RF pulse effects can be fully taken into account from an adaptation of the bSSFP MT signal model (21), simple semiquantitative estimates, such as MTR values (see Figs. 9 and 10), cannot be corrected for.…”
Section: Discussionmentioning
confidence: 99%
“…Short RF pulses, however, lead to pronounced magnetization transfer (MT) effects in tissues (14) which may impair the accuracy of common SSFP-based quantitative MR imaging techniques, such as fast relaxation time mapping with inversion recovery SSFP (15,16) or variable nutation SSFP (17). Thus, long RF pulses were proposed to be used with these techniques to suppress MT effects (18,19), but it also became evident that signal modulations from finite RF pulses can no longer be neglected (18,20,21). In principle, signal models of quantitative SSFP imaging techniques can be adapted to take into account finite RF pulse effects, as proposed with variable nutation SSFP and quantitative MT (20,21), but a correction of semiquantitative methods, such as magnetization transfer ratio (MTR) imaging (22), is not possible.…”
mentioning
confidence: 99%
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“…Furthermore, SSFP sequences show an inherent MT contrast enhancement, as shown by (12,13) which might be beneficial for coronary vein imaging. In a thin slab acquisition, the inflow of fresh blood increases the blood signal-to-noise ratio (SNR) and yields better CNR for GRE imaging.…”
mentioning
confidence: 99%