Bush Adam, Chai Yaqiong, Choi So Young, Vaclavu Lena, Holland Scott, Nederveen Aart, Coates Thomas, Wood John
Department of Radiology, Stanford University, Palo Alto, CA, United States; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States.
Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States.
Magn Reson Imaging. 2018 Apr;47:137-146. doi: 10.1016/j.mri.2017.12.011. Epub 2017 Dec 9.
To investigate possible sources of quantification errors in global cerebral blood flow (CBF) measurements by comparing pseudo continuous arterial spin labeling (PCASL) and phase contrast (PC) MRI in anemic, hyperemic subjects.
All studies were performed on a Philips 3T Achieva MRI scanner. PC and PCASL CBF examinations were performed in 10 healthy, young adult subjects and 18 young adults with chronic anemia syndromes including sickle cell disease and thalassemia. CBF estimates from single and two compartment ASL kinetic models were compared. Numerical simulation and flow phantom experiments were used to explore the effects of blood velocity and B1 on CBF quantification and labeling efficiency.
PCASL CBF underestimated PC in both populations using a single compartment model (30.1±9.2% control, 45.2±17.2% anemia). Agreement substantially improved using a two-compartment model (-8.0±6.0% control, 11.7±12.3% anemia). Four of the anemic subjects exhibited venous outflow of ASL signal, suggestive of cerebrovascular shunt, possibly confounding PC-PCASL comparisons. Additionally, sub-study experiments demonstrated that B1 was diminished at the labeling plane (82.9±5.1%), resulting in suboptimal labeling efficiency. Correcting labeling efficiency for diminished B1, PCASL slightly overestimated PC CBF in controls (-15.4±6.8%) and resulted in better matching of CBF estimates in anemic subjects (0.7±10.0% without outflow, 10.5±9.4% with outflow).
This work demonstrates that a two-compartment model is critical for PCASL quantification in hyperemic subjects. Venous outflow and B1 under-excitation may also contribute to flow underestimation, but further study of these effects is required.
通过比较伪连续动脉自旋标记(PCASL)和相位对比(PC)MRI在贫血和充血受试者中的情况,研究全脑血流量(CBF)测量中可能的量化误差来源。
所有研究均在飞利浦3T Achieva MRI扫描仪上进行。对10名健康的年轻成年受试者和18名患有慢性贫血综合征(包括镰状细胞病和地中海贫血)的年轻成年人进行了PC和PCASL CBF检查。比较了单室和双室ASL动力学模型的CBF估计值。使用数值模拟和流动模型实验来探讨血流速度和B1对CBF量化和标记效率的影响。
在两个群体中,使用单室模型时,PCASL CBF均低于PC(对照组为30.1±9.2%,贫血组为45.2±17.2%)。使用双室模型时,一致性有显著改善(对照组为-8.0±6.0%,贫血组为11.7±12.3%)。4名贫血受试者表现出ASL信号的静脉流出,提示脑血管分流,这可能会混淆PC-PCASL比较。此外,子研究实验表明标记平面处的B1降低(82.9±5.1%),导致标记效率不理想。对降低的B1进行标记效率校正后,PCASL在对照组中略微高估了PC CBF(-15.4±6.8%),并且在贫血受试者中CBF估计值的匹配度更好(无流出时为0.7±10.0%,有流出时为10.5±9.4%)。
这项工作表明双室模型对于充血受试者的PCASL量化至关重要。静脉流出和B1激发不足也可能导致血流估计值偏低,但需要对这些影响进行进一步研究。