Detection of Red Blood Cell Aggregation Regions by Feature Point Extraction and Size Estimation by Clustering

被引：0

作者：

Arai A. ^{[1
]}

Ota M. ^{[1
]}

Sato T. ^{[1
]}

机构：

[1] Electrical Engineering and Computer Science, Tokyo Metropolitan University, 6-6, Asahigaoka, Hino, Tokyo

来源：

IEEJ Transactions on Electronics, Information and Systems | 2024年 / 144卷 / 07期

关键词：

blood viscosity; clustering; extracorporeal circulatory device; feature point extraction; nearest neighbor search; red blood cell aggregation;

D O I：

10.1541/ieejeiss.144.694

中图分类号：

学科分类号：

摘要：

In this study, we propose an optical method for noninvasive and quantitative measurement of blood viscosity in extracorporeal circulatory device. Using self-made simulated blood images, we investigated a method to detect aggregation regions by extracting feature points. Then, we investigated the estimation of aggregation number and aggregation diameter using clustering. As a result, it is possible to detect aggregations and discriminate the number of aggregations and their size. © 2024 The Institute of Electrical Engineers of Japan.

引用

页码：694 / 701

页数：7

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