DETERMINATION OF BLOOD CAPILIARY OBSTRUCTION THROUGH LASER SPECKLE IMAGING VIA SIMULATING THE OBSTRUCTION CONDITION

Abstract

Laser Speckle contrast imaging was first introduced in 1980s, since then it has emerged as a powerful tool for full-field imaging technique for blood flow measurement. In recent years laser speckle contrast imaging technology has gained large attention, due to its capability to rapidly adopt for blood flow studies in the brain. A speckle pattern is produced when a diffuse object is illuminated with a monochromatic highly coherent laser light, a random interference effect occurs which give rise to speckle patterns. Fluctuation in intensity occurs when object under consideration is in motion. Fluctuation in the intensity of speckle pattern can be used as a source of information to predict the movement of object under consideration. Velocity distribution are coded as speckle contrast variation, this is done as fluctuation in speckle pattern intensity causes a blurring of the speckle, and this leads to a decrease in the local speckle contrast. The research work thus focus upon the use of this powerful tool to measure the blood capillary obstruction by simulating obstruction condition using pressure cuffs. The study preforms study of speckle contrast under two different condition namely studying the speckle contrast without and then with pressure cuffs. Velocity of blood in capillary is a direct indication of fitness of skin, any abnormality in blood flow velocity in capillary can be an initial indication of skin disorder. The paper closes by presenting the result obtained by studying the two conditions. Thus evaluating the blood flow velocity in blood capillary of human arm.

Authors and Affiliations

Dinesh Singh , Mrs. Bhumika Gupta

Keywords

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  • EP ID EP116012
  • DOI -
  • Views 111
  • Downloads 0

How To Cite

Dinesh Singh, Mrs. Bhumika Gupta (2014). DETERMINATION OF BLOOD CAPILIARY OBSTRUCTION THROUGH LASER SPECKLE IMAGING VIA SIMULATING THE OBSTRUCTION CONDITION. International Journal of Computer Science & Engineering Technology, 5(4), 389-393. https://europub.co.uk/articles/-A-116012