In Vivo Quantification of Clot Formation in Extracorporeal Circuits

12/21/2012
by   Omid David, et al.
0

Clot formation is a common complication in extracorporeal circuits. In this paper we describe a novel method for clot formation analysis using image processing. We assembled a closed extracorporeal circuit and circulated blood at varying speeds. Blood filters were placed in downstream of the flow, and clotting agents were added to the circuit. Digital images of the filter were subsequently taken, and image analysis was applied to calculate the density of the clot. Our results show a significant correlation between the cumulative size of the clots, the density measure of the clot based on image analysis, and flow duration in the system.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

09/13/2021

Blood vessel segmentation in en-face OCTA images: a frequency based method

Optical coherence tomography angiography (OCTA) is a novel noninvasive i...
01/28/2018

Malaria Detection Using Image Processing and Machine Learning

Malaria is mosquito-borne blood disease caused by parasites of the genus...
08/08/2014

Gabor-like Image Filtering using a Neural Microcircuit

In this letter, we present an implementation of a neural microcircuit fo...
06/11/2018

Exact, complete expressions for the thermodynamic costs of circuits

Common engineered systems implement computations using circuits, as do m...
04/07/2018

Evolution leads to a diversity of motion-detection neuronal circuits

A central goal of evolutionary biology is to explain the origins and dis...
08/05/2018

Designing molecular circuit for approximate maximum a posteriori demodulation of concentration modulated signals

Motivated by the fact that living cells use molecular circuits (i.e. a s...
08/05/2018

Designing molecular circuits for approximate maximum a posteriori demodulation of concentration modulated signals

Motivated by the fact that living cells use molecular circuits (i.e. a s...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.