Gregory T Stan, Oshinski John, Schmidt Ehud J, Kwong Raymond Y, Stevenson William G, Ho Tse Zion Tsz
From the College of Engineering, University of Georgia, Athens (T.S.G., Z.T.H.T.); Departments of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA (J.O.); Departments of Radiology (E.J.S.) and Cardiology (R.Y.K., W.G.S.), Brigham and Women's Hospital, Boston, MA.
Circ Cardiovasc Imaging. 2015 Dec;8(12). doi: 10.1161/CIRCIMAGING.115.003282.
To develop a technique to noninvasively estimate stroke volume in real time during magnetic resonance imaging (MRI)-guided procedures, based on induced magnetohydrodynamic voltages (VMHD) that occur in ECG recordings during MRI exams, leaving the MRI scanner free to perform other imaging tasks. Because of the relationship between blood flow (BF) and VMHD, we hypothesized that a method to obtain stroke volume could be derived from extracted VMHD vectors in the vectorcardiogram (VCG) frame of reference (VMHDVCG).
To estimate a subject-specific BF-VMHD model, VMHDVCG was acquired during a 20-s breath-hold and calibrated versus aortic BF measured using phase-contrast magnetic resonance in 10 subjects (n=10) and 1 subject diagnosed with premature ventricular contractions. Beat-to-beat validation of VMHDVCG-derived BF was performed using real-time phase-contrast imaging in 7 healthy subjects (n=7) during 15-minute cardiac exercise stress tests and 30 minutes after stress relaxation in 3T MRIs. Subject-specific equations were derived to correlate VMHDVCG with BF at rest and validated using real-time phase-contrast. An average error of 7.22% and 3.69% in stroke volume estimation, respectively, was found during peak stress and after complete relaxation. Measured beat-to-beat BF time history derived from real-time phase-contrast and VMHD was highly correlated using a Spearman rank correlation coefficient during stress tests (0.89) and after stress relaxation (0.86).
Accurate beat-to-beat stroke volume and BF were estimated using VMHDVCG extracted from intra-MRI 12-lead ECGs, providing a means to enhance patient monitoring during MR imaging and MR-guided interventions.
开发一种在磁共振成像(MRI)引导的手术过程中实时无创估计每搏输出量的技术,该技术基于MRI检查期间心电图记录中出现的感应磁流体动力电压(VMHD),使MRI扫描仪能够自由执行其他成像任务。由于血流(BF)与VMHD之间的关系,我们假设可以从向量心电图(VCG)参考系中的提取VMHD向量(VMHDVCG)中得出一种获取每搏输出量的方法。
为了估计特定受试者的BF-VMHD模型,在10名受试者(n = 10)和1名诊断为室性早搏的受试者中,在20秒屏气期间采集VMHDVCG,并与使用相位对比磁共振测量的主动脉BF进行校准。在3T MRI中,对7名健康受试者(n = 7)进行15分钟心脏运动压力测试期间以及压力放松30分钟后,使用实时相位对比成像对VMHDVCG衍生的BF进行逐搏验证。推导特定受试者的方程,以关联静息状态下的VMHDVCG与BF,并使用实时相位对比进行验证。在压力峰值和完全放松后,每搏输出量估计的平均误差分别为7.22%和3.69%。在压力测试期间(Spearman等级相关系数为0.89)和压力放松后(Spearman等级相关系数为0.86),使用实时相位对比和VMHD测量的逐搏BF时间历程高度相关。
使用从MRI内12导联心电图中提取的VMHDVCG准确估计了逐搏每搏输出量和BF,为在MR成像和MR引导的干预过程中加强患者监测提供了一种手段。