Zhang Haosen, Shea Steve M, Park Vivian, Li Debiao, Woodard Pamela K, Gropler Robert J, Zheng Jie
Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA.
Magn Reson Med. 2005 May;53(5):1135-42. doi: 10.1002/mrm.20461.
In this study, we investigated a method for accurately measuring myocardial T(1) for the quantification of myocardial blood flow (MBF) with arterial spin labeling (ASL). A single-shot gradient-echo (GE)-based ASL sequence with an adiabatic hyperbolic secant inversion recovery pulse was modified to acquire a pair of myocardial T(1)'s within a breath-hold. A multivariable regression algorithm that accounted for the magnetization saturation effects was developed to calculate T(1). The MBF was then determined with a well-developed model. The accuracy of our T(1) calculation was first evaluated in a phantom, and then in six dogs for the MBF calculation, with (N = 4) and without (N = 2) coronary artery stenosis. In the phantom study, the accuracy of T(1) measured with a slice-selective inversion prepared pulse was within 2.5% of error. In healthy dogs, the MBF increased 2-5 times during vasodilation. In contrast, regional differences of MBF were well visualized in the stenotic dogs during vasodilation (perfusion reserve of 2.75 +/- 0.83 in normal myocardium, and 1.46 +/- 0.75 in the stenotic area). A correlation analysis revealed a close agreement in MBF between the ASL and microsphere (MS) in both healthy and stenotic dogs. In summary, the modified ASL technique and T(1) regression algorithm proposed here provide an accurate measurement of myocardial T(1) and demonstrate potential for reliably assessing MBF at steady state.
在本研究中,我们研究了一种通过动脉自旋标记(ASL)准确测量心肌T(1)以定量心肌血流量(MBF)的方法。对基于单次激发梯度回波(GE)的ASL序列进行了修改,该序列带有绝热双曲正割反转恢复脉冲,以在屏气期间获取一对心肌T(1)值。开发了一种考虑磁化饱和效应的多变量回归算法来计算T(1)。然后使用完善的模型确定MBF。我们首先在体模中评估了T(1)计算的准确性,然后在六只犬中评估了MBF计算的准确性,其中四只犬有冠状动脉狭窄,两只犬无冠状动脉狭窄。在体模研究中,用切片选择性反转准备脉冲测量的T(1)的准确性误差在2.5%以内。在健康犬中,血管舒张期间MBF增加2至5倍。相比之下,在血管舒张期间,狭窄犬的MBF区域差异清晰可见(正常心肌的灌注储备为2.75±0.83,狭窄区域为1.46±0.75)。相关性分析显示,在健康犬和狭窄犬中,ASL和微球(MS)测量的MBF之间具有高度一致性。总之,本文提出的改进ASL技术和T(1)回归算法能够准确测量心肌T(1),并显示出在稳态下可靠评估MBF的潜力。