Why the study?
Conventional k-space undersampling in simultaneous multislice MRI can cause signal interference due to vertical projection between blood vessels in the same hemisphere.
Does a radial projection method combining simultaneous multislice imaging improve the measurement accuracy of cerebrovascular pulse wave velocity compared to conventional methods?
Does a radial projection method combining simultaneous multislice imaging improve the measurement accuracy of cerebrovascular pulse wave velocity compared to conventional methods?
A novel radial projection method for simultaneous multislice MRI accurately measures cerebrovascular pulse wave velocity by reducing signal interference between vessels.
Magnetic resonance imaging (MRI) using a simultaneous multislice technique can measure dynamic vascular elasticity over time. However, conventional k-space undersampling can cause signal interference, owing to vertical projection between blood vessels within the same hemisphere. Here, we proposed a radial projection method that can reduce signal interference between the blood vessels and aimed to verify the theoretical and practical effects of this method. A dataset from the internal and common carotid arteries (ICA and CCA) was used for both projection methods. Pulse wave velocity (PWV) was calculated using the ICA and CCA time series, and the methods were compared using the mean absolute error of PWV. The feasibility of the radial projection method in an actual MRI environment was also evaluated. PWVs of the radial projection method were statistically indistinguishable from the ground truth. And the radial projection method was less sensitive to background noise levels and showed similar results to the ground truth. This method could effectively avoid signal interference between vessels and was feasible for use in real MRI environments, maintaining high temporal resolution even with fewer sampling timepoints. Therefore, it can contribute to the early diagnosis and treatment of cerebrovascular diseases through accurate and dynamic PWV measurements.
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Shim et al. (2025) studied this question.
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