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Quantification of errors in cerebral blood flow measurements due to dispersion in arterial spin labelling

机译:量化由于动脉旋转标记分散造成的脑血流量测量误差

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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:使用动脉自旋标记(ASL)进行的脑血流量(CBF)测量的准确性尤其受分散影响。尽管如此,尽管如此,当前推荐的ASL实施方法-白皮书(WP)-并未考虑分散性,这导致在CBF中引入错误。实际上,这些误差也可能随动脉传输时间(ATT)的变化而变化,这是从标记区域到组织的传输时间。使用伪连续ASL,本研究与WP量化公式相比,评估了各种色散模型,从而可以量化WP引入的误差。尤其是,这项研究表明,WP量化仅适用于1.25s以下的ATT-并且随着分散的发生,该ATT值会进一步降低。还对色散水平进行了定量,超过该色散水平,WP会引入严重误差,因此,如果色散水平低于本研究确定的阈值,则WP仍可以以合理的精度测量CBF。

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