Key result
Magnetohydrodynamic voltage mapping derived from ECGs inside a 3T MRI showed significant correlation with MR angiograms for abdominal (r=0.96) and thoracic (r=0.97) cavities (p<0.001).
Why the study?
The study was conducted to noninvasively measure regional contributions of vasculature in the human body using magnetohydrodynamic voltages from ECG recordings inside an MRI static magnetic field.
Does extraction of magnetohydrodynamic voltages from ECGs during MRI correlate with MR angiograms for measuring regional blood volumes in human subjects?
Cross-Sectional (n=6)
No
Does extraction of magnetohydrodynamic voltages from ECGs during MRI correlate with MR angiograms for measuring regional blood volumes in human subjects?
Effect estimate: Spearman's ranked correlation coefficients of 0.96 and 0.97
p-value: p=<0.001
Extracting magnetohydrodynamic voltages from ECGs during MRI provides a rapid, non-invasive method to quantify regional blood volumes that strongly correlates with MR angiography.
BACKGROUND: The aim of this study was to noninvasively measure regional contributions of vasculature in the human body using magnetohydrodynamic voltages (VMHD) obtained from electrocardiogram (ECG) recordings performed inside MRI's static magnetic field (B0). Integrating the regional VMHD over the Swave-Twave segment of the cardiac cycle (Vsegment) provides a non-invasive method for measuring regional blood volumes, which can be rapidly obtained during MRI without incurring additional cost. METHODS: VMHD was extracted from 12-lead ECG traces acquired during gradual introduction into a 3T MRI. Regional contributions were computed utilizing weights based on B0's strength at specified distances from isocenter. Vsegment mapping was performed in six subjects and validated against MR angiograms (MRA). RESULTS: Fluctuations in Vsegment, which presented as positive trace deflections, were found to be associated with aortic-arch flow in the thoracic cavity, the main branches of the abdominal aorta, and the bifurcation of the common iliac artery. The largest fluctuation corresponded to the location where the aortic arch was approximately orthogonal to B0. The smallest fluctuations corresponded to areas of vasculature that were parallel to B0. Significant correlations (specifically, Spearman's ranked correlation coefficients of 0.96 and 0.97 for abdominal and thoracic cavities, respectively) were found between the MRA and Vsegment maps (p < 0.001). CONCLUSIONS: A novel non-invasive method to extract regional blood volumes from ECGs was developed and shown to be a rapid means to quantify peripheral and abdominal blood volumes.
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Gregory et al. (2019) conducted a cross-sectional in Healthy volunteers (n=6). Magnetohydrodynamic voltage (VMHD) mapping via 12-lead ECG inside 3T MRI vs. MR angiograms (MRA) was evaluated on Correlation between VMHD-derived maps and MR angiograms (MRA) in the abdominal and thoracic cavities (Spearman's ranked correlation coefficients of 0.96 and 0.97, p=<0.001). Magnetohydrodynamic voltage mapping derived from ECGs inside a 3T MRI showed significant correlation with MR angiograms for abdominal (r=0.96) and thoracic (r=0.97) cavities (p<0.001).
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