Yuan Jing, Zhang Qinwei, Wang Yi-Xiang, Wei Juan, Zhou Jinyuan
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:5139-42. doi: 10.1109/EMBC.2013.6610705.
Amide proton transfer (APT) imaging offers a novel and powerful MRI contrast mechanism for quantitative molecular imaging based on the principle of chemical exchange saturation transfer (CEST). Asymmetric magnetization transfer ratio (MTR(asym)) quantification is crucial for Z-spectrum analysis of APT imaging, but is still challenging, particularly at clinical field strength. This paper studies the accuracy and uncertainty in the quantification of MTR(asym) for APT imaging at 3T, by using high-order polynomial fitting of Z-spectrum through Monte Carlo simulation. Results show that polynomial fitting is a biased estimator that consistently underestimates MTR(asym). For a fixed polynomial order, the accuracy of MTR(asym) is almost constant with regard to signal-to-noise ratio (SNR) while the uncertainty decreases exponentially with SNR. The higher order polynomial fitting increases both the accuracy and the uncertainty of MTR(asym). For different APT signal intensity levels, the relative accuracy and the absolute uncertainty keep constant for a fixed polynomial order. These results indicate the limitations and pitfalls of polynomial fitting for MTR(asym) quantification so better quantification technique for MTR(asym) estimation is warranted.
酰胺质子转移(APT)成像基于化学交换饱和转移(CEST)原理,为定量分子成像提供了一种新颖且强大的磁共振成像(MRI)对比机制。不对称磁化转移率(MTR(asym))定量对于APT成像的Z谱分析至关重要,但仍具有挑战性,尤其是在临床场强下。本文通过蒙特卡罗模拟对Z谱进行高阶多项式拟合,研究了3T场强下APT成像中MTR(asym)定量的准确性和不确定性。结果表明,多项式拟合是一种有偏差的估计方法,始终会低估MTR(asym)。对于固定的多项式阶数,MTR(asym)的准确性在信噪比(SNR)方面几乎保持不变,而不确定性随SNR呈指数下降。高阶多项式拟合会同时增加MTR(asym)的准确性和不确定性。对于不同的APT信号强度水平,对于固定的多项式阶数,相对准确性和绝对不确定性保持不变。这些结果表明了多项式拟合用于MTR(asym)定量的局限性和缺陷,因此需要更好的MTR(asym)估计定量技术。