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Laser Doppler: A Tool for Measuring Pancreatic Islet Microvascular Vasomotion In Vivo
Published on: March 8, 2018
Evaluating microcirculation by pulsatile laser Doppler signal
1Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, Republic of China.
New pulsatile indices derived from heartbeat-triggered pressure and flux signals can differentiate microcirculation conditions. These indices, including peak delay time and flux rise time, offer a novel dimension for Laser Doppler flowmetry analysis.
Area of Science:
- Physiology
- Biomedical Engineering
- Cardiovascular Research
Background:
- Laser Doppler flowmetry (LDF) is widely used for microcirculation monitoring but lacks absolute measurement capabilities.
- Current LDF analysis often relies on relative changes in flux or frequency domain analysis.
- There is a need for novel methods to better discriminate microcirculatory states.
Purpose of the Study:
- To investigate the relationship between pressure and flux using heartbeat as a trigger to differentiate microcirculatory conditions.
- To propose and validate new pulsatile indices for microcirculation assessment.
- To determine if these new indices can distinguish between hypertensive and normotensive models.
Main Methods:
- Developed a synchronized-averaging method using heartbeat as a trigger to analyze normalized pressure and flux signals.
- Proposed three pulsatile indices: peak delay time (PDT), pressure rise time, and flux rise time (FRT).
- Measured abdominal aortic blood pressure and renal cortex flux (RCF) in spontaneously hypertensive rats (SHR) and Wistar Kyoto rats (WKY).
Main Results:
- The mean renal cortex flux (RCF) did not significantly differ between SHR and WKY rats.
- Peak delay time (PDT) was significantly longer in SHR (87.14 ms) compared to WKY (76.92 ms).
- Flux rise time (FRT) was also significantly longer in SHR (66.56 ms) than in WKY (58.02 ms).
Conclusions:
- Pulsatile indices, specifically PDT and FRT, derived from synchronized pressure and flux signals, can effectively discriminate microcirculatory conditions.
- These novel indices provide an additional dimension for analyzing LDF signals, surpassing limitations of traditional methods.
- The findings suggest a potential for improved diagnosis and monitoring of microcirculatory dysfunction.
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