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Quantification of Errors in Cerebral Blood Flow Measurements due to Dispersion in Arterial Spin Labelling

机译:随着动脉旋转标记中的分散性引起的脑血流量测量误差的定量

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The accuracy of cerebral blood flow (CBF) measurements using arterial spin labelling (ASL) is particularly affected by dispersion. In spite of this, however, the current recommended implementation of ASL - the white paper (WP) - does not account for dispersion, which leads to the introduction of errors in CBF. In fact, these errors are also likely to vary with the arterial transit time (ATT), which is the transport time from the labelling region to the tissue. Using pseudo-continuous ASL, this study assesses a variety of dispersion models in comparison with the WP quantification formula, enabling the errors introduced by the WP to be quantified. In particular, this study shows that the WP quantification only holds for ATTs below 1.25s - and that this ATT value reduces further as dispersion occurs. The levels of dispersion beyond which the WP introduces significant error are also quantified, such that provided the dispersion levels fall below the thresholds determined in this study, the WP can still measure CBF with reasonable accuracy.
机译:使用动脉旋转标记(ASL)的脑血流(CBF)测量的准确性特别受分散的影响。然而,尽管如此,目前的ASL推荐实施 - 白皮书(WP) - 不考虑分散,这导致CBF中的错误引入错误。实际上,这些误差也可能与动脉转运时间(ATT)变化,这是从标记区域到组织的运输时间。使用伪连续ASL,该研究与WP量化公式进行了评估了各种分散模型,使得通过WP待量化引入的误差。特别是,该研究表明,WP定量仅适用于低于1.25s的ATTS - 并且该att值进一步减少,因为发生了分散。除了WP引入显着误差之外的分散水平也会量化,使得提供了分散水平低于本研究中确定的阈值,因此WP仍可以以合理的精度测量CBF。

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