Analysis Of Microcirculation Videos Based On Adaptive Thresholding Technique
Piyush M Asolkar1, Vinayak M Umale2
1Piyush M Asolkar, Department of Electronics and Telecomm, SSGMCE, Shegaon. India.
2Prof. Vinayak M Umale, Department of Electronics and Telecomm, SSGMCE, Shegaon. India.
Manuscript received on January 19, 2013. | Revised Manuscript received on February 11, 2013. | Manuscript published on February 28, 2013. | PP: 36-39 | Volume-2 Issue-3, February 2013. | Retrieval Number: C0984022313 /2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The study of microcirculation is a key factor in the analysis of blood circulatory system. The blood flow distribution changes, based on the physiological effects of disorders. This study presents a method for analysis of microcirculation. The technique applies advanced image processing methods to the images. micro vessels (capillaries and small blood vessels), and estimate the average Functional Capillary Density on 20 consecutive frames for each subject. The algorithm consists of four main parts: pre-processing, averaging, adaptive local thresholding segmentation and calculation of parameters. The key objective is to analyse the malfunctioning of the microcirculation in various organs. The designed system will help physicians and medical researchers in diagnostic and decision making to determine the functionality of organ sufficiency of resuscitation process and the effect of drug consumption in patients. Calculation of two parameters capillary flow density , functional capillary density and mass flow index allows analysing severity of malfunctioning.
Keywords: Capillary flow density , functional capillary density, Image processing microcirculation , Thresholding.