Cardiac pulsatility mapping and vessel type identification using laser speckle contrast imaging

Area of Science:

• Neuroscience
• Biomedical Engineering
• Physiology

Background:

• Systemic blood flow variations from the cardiac cycle are vital indicators in normal and pathological states.
• Vascular diseases significantly alter flow pulse characteristics, including shape, magnitude, and propagation speed.
• Conventional imaging methods struggle with the spatial and temporal resolution needed for microcirculation cardiac activity analysis.

Purpose of the Study:

• To investigate cardiac activity in the cerebral microcirculation using high-resolution imaging.
• To explore vessel-dependent variations in cardiac pulse activity.
• To develop an automated method for identifying arteries and veins based on observed pulse dynamics.

Main Methods:

• Application of laser speckle contrast imaging (LSCI) to mouse cerebral cortex.
• Acquisition of high spatial resolution images capturing high-frequency cardiac activity harmonics.
• Analysis of flow pulse characteristics to differentiate vascular structures.

Main Results:

• Revealed distinct, vessel-dependent variations in cardiac pulse activity within the cerebral cortex.
• Demonstrated the capability of LSCI to image microcirculatory cardiac dynamics.
• Successfully developed an automated method for artery and vein identification using pulse information.

Conclusions:

• High-resolution LSCI can effectively visualize cardiac pulse dynamics in the cerebral microcirculation.
• Vessel-specific cardiac pulse patterns offer a novel approach for vascular differentiation.
• This technique holds potential for diagnosing and monitoring cerebrovascular conditions.