Research on Carotid Blood Flow Detection Based on Interferometric Diffuse Speckle Contrast Analysis and Its Application in Preventing Ischemic Stroke.

Abstract

This study applied the Interferometric Diffusion Speckle Contrast Analysis (iDSCA) system developed by our research group to detect changes in common carotid artery blood flow. Through animal experiments combining color Doppler ultrasound and human in vivo experiments integrating Transcranial Doppler, the iDSCA system was validated as a technical modality for early warning of ischemic stroke. The experimental results show that in animal experiments, the average relative blood flow index change rate detected by iDSCA after stenosis is -56.66%, which is consistent with the detection result of color Doppler ultrasound (-63.17%). In human in vivo experiments, the average rBFI (%) detected by iDSCA was -23.38%, consistent with the average rate of change in blood flow velocity (rMV(%) = -20.43%) measured by TCD. The iDSCA system has demonstrated significant correlation in both animal and in vivo experiments, confirming its ability to noninvasively and sensitively capture hemodynamic changes caused by CCA stenosis.