TG Vascutrack: A User-Friendly and Open-Source Software for Automated Extraction of Arterial Diameter and Velocity Profile Data From Vascular Ultrasound Videos

被引：0

作者：

Tecchio, Paolo ^{[1
]}

Gentilin, Alessandro ^{[1
]}

机构：

[1] Ruhr Univ Bochum, Fac Sport Sci, Human Movement Sci, Bochum, Germany

来源：

JOURNAL OF ULTRASOUND IN MEDICINE | 2024年

关键词：

automated software; coding; image processing algorithms; open-source technology; vascular research;

D O I：

10.1002/jum.16553

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Existing automated software for vascular ultrasound data extraction lacks free, open-source options suitable for professionals without coding experience. These programs typically include signal-cleaning algorithms, resulting in processed output without access to raw data. To address these needs, we developed TG Vascutrack, an open-source and user-friendly software tailored for non-coder professionals. It features a graphical interface, multiple functionalities, and provides access to raw data. Comparative analysis against validated software and manual extraction revealed minimal biases and standard deviations in diameter and velocity measurements. TG Vascutrack offers a free, promising solution for non-coders needing automated vascular ultrasound data extraction.

引用

页码：2203 / 2211

页数：9