Human Movement Science, Faculty of Sport Science, Ruhr University Bochum, Bochum, Germany.
Independent Researcher, Vicenza, Italy.
J Ultrasound Med. 2024 Nov;43(11):2203-2211. doi: 10.1002/jum.16553. Epub 2024 Aug 20.
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.
现有的血管超声数据提取自动化软件缺乏适合无编程经验的专业人员使用的免费、开源选项。这些程序通常包括信号清理算法,导致处理后的输出无法访问原始数据。为了解决这些需求,我们开发了 TG Vascutrack,这是一款专为非编码专业人员设计的开源且用户友好的软件。它具有图形界面、多种功能,并提供对原始数据的访问。与经过验证的软件和手动提取的比较分析表明,直径和速度测量的偏差和标准差最小。TG Vascutrack 为需要自动化血管超声数据提取的非编码人员提供了一个免费的、有前途的解决方案。