Fluorescent image-tracking velocimetry algorithms for quantitative flow analysis in artificial organ devices

Ramanand Singh; Franklin D. Shaffer; Harvey Borovetz

doi:10.1117/12.148640

29 July 1993 Fluorescent image-tracking velocimetry algorithms for quantitative flow analysis in artificial organ devices

Ramanand Singh, Franklin D. Shaffer, Harvey Borovetz

Author Affiliations +

Proceedings Volume 1905, Biomedical Image Processing and Biomedical Visualization; (1993) https://doi.org/10.1117/12.148640
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

A Fluorescent Image Tracking Velocimetry (FITV) system has been developed to produce two-dimensional velocity maps of flow fields. This system is capable of measurements at flow boundaries, such as the blood-biomaterial interfaces in artificial cardiac organs (in-vitro only). Three pulse-coding schemes--a single-pulse code, a dash-dot pulse code, and a constant- frequency pulse code--and associated image analysis algorithms have been developed and tested. These algorithms were applied to analyze flow in three types of artificial cardiac organs: the Novacor Left Ventricular Assist System, the Nimbus AxiPump, and the Hattler Intravenous Membrane Oxygenator. Results are presented and discussed in terms of image recognition. Despite the drawback of time-direction ambiguity, a constant-frequency pulse with a hybrid of constant-frequency and single-pulse analyses was found to provide optimum results for these applications.

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Ramanand Singh, Franklin D. Shaffer, and Harvey Borovetz "Fluorescent image-tracking velocimetry algorithms for quantitative flow analysis in artificial organ devices", Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); https://doi.org/10.1117/12.148640

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