Cerebral blood flow measurement, which is applied to patients with cerebrovascular-related diseases, provides useful information about hemodynamic status. There was a method using Doppler ultrasound and phase contrast (PC) MRI, but it was not widely used in clinical practice due to limitations in reproducibility between examiners, complexity of procedure, and time-intensive protocol. We intend to measure cerebral blood flow through the signal-intensity gradient (SIG) technique using Time-of-Flight (TOF) of brain magnetic resonance imaging, which can compensate for the shortcomings of the existing research methods. In addition, by analyzing the correlation with the previous methods, Doppler ultrasound and PC MRI, we will evaluate the effectiveness of our new method.
Study Type
OBSERVATIONAL
Enrollment
30
Signal intensity gradient: In time-of-flight (TOF) MRA, The signal intensities at the iso-point (Φa; signal intensity at position A \[Xa\] along the arterial contour line) and at the inner point (Φb; signal intensity at position B \[Xb\]) were calculated by using a trilinear interpolation algorithm based on the positions and signal intensities in the eight neighboring voxels. The signal intensities of TOF-MRA were normalized to eliminate the offset and scale effects across the MRA datasets of participants. For each iso-point (position A), the SIG was calculated from the difference in signal intensities between points A and B as follows: Scalar SIG, SI/mm = (Φb - Φa) / │Xb - Xa│ (1) Vector SIG, SI/mm = (Φb - Φa) n / │Xb - Xa│ (2)
Jeonbuk National University Hospital
Jeonju, Jeollabuk-do, South Korea
RECRUITINGCerebral blood flow correlation
Cerebral blood flow correlation between 3 tests (SIG, PC MR, US)
Time frame: After completion of recruitment, average 1 year
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