Implementation of noninvasive flow velocimetry through Monte Carlo simulation

One of the most important mechanisms for maintaining the life of human beings is the human circulatory system. This research focuses on a non-invasive technique that maintains high resolution and high precision of measuring photon in the blood stream. We hope to obtain important biomedical parameters valuable for pathological diagnosis. In phase I, a non-invasive optical flow velocimetry is implemented for detecting the human circulatory system under the skin surface. The source of the incidence photon is He-Ne laser. The signal is transmitted and detected via a Y-type optical fiber. Optical heterodyning is used to measure the frequency difference between the reflection wave and the original incidence laser wave. Then numerical simulation using Monte Carlo was used in the analysis to verify the result. In phase II, after a velocimetry specification was decided, it was modeled, tested and verified using Monte Carlo simulation. Then the apparatus were set up as directed in the model. The performance of this velocimetry is satisfactory and acceptable. This method of implementing a velocimetry is simple, convenience and fast. Thus, no prior clinical experiment is need. Moreover, the best reading for the reflected wave is 45° ±2.35°. This is a real-time and continuous detecting blood flow velocimetry. We find that this is a reliable tool for doctors when doing clinical diagnosis.