City Research Online

Abstract

A tracking algorithm is proposed to measure the velocity of red blood cells traveling through microvessels of tumors growing in skin flaps implanted on mice. The tracking is based on a keyhole model that describes the probable movement of a segmented cell between contiguous frames in a video sequence. When a history of movements exists, past, present and a predicted landing position define two regions of probability with a keyhole shape. This keyhole is used to de- termine if cells in contiguous frames should be linked to form tracks. Pre-processing segments cells from background and post-processing joins tracks and discards links that could have been formed due to noise or uncertainty. The algorithm pre- sents several advantages over traditional methods such as kymographs or particle image velocimetry: manual interven- tion is restricted to the thresholding, several vessels can be analyzed simultaneously, algorithm is robust to noise and a wealth of statistical measures can be obtained. Two tumors with different geometries were analyzed; average velocities were 211±136 [μm/s] (mean±std) with a range 15.9-797 [μm/s], and 89±62 [μm/s] with a range 5.5-300 [μm/s] respec- tively, which are consistent with previous results in the litera- ture.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-73044-6_210
Publisher Keywords:	Red Blood Cell Tracking, Blood Velocity
Subjects:	R Medicine > RC Internal medicine T Technology > TA Engineering (General). Civil engineering (General)
Departments:	School of Science & Technology > Engineering School of Science & Technology > Computer Science > giCentre

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