Department of Radiation Oncology, Stanford University. Stanford, CA, USA.
J Appl Clin Med Phys. 2010 Jul 12;11(4):3262. doi: 10.1120/jacmp.v11i4.3262.
A respiratory training system based on audiovisual biofeedback has been implemented at our institution. It is intended to improve patients' respiratory regularity during four-dimensional (4D) computed tomography (CT) image acquisition. The purpose is to help eliminate the artifacts in 4D-CT images caused by irregular breathing, as well as improve delivery efficiency during treatment, where respiratory irregularity is a concern. This article describes the commissioning and quality assurance (QA) procedures developed for this peripheral respiratory training system, the Stanford Respiratory Training (START) system. Using the Varian real-time position management system for the respiratory signal input, the START software was commissioned and able to acquire sample respiratory traces, create a patient-specific guiding waveform, and generate audiovisual signals for improving respiratory regularity. Routine QA tests that include hardware maintenance, visual guiding-waveform creation, auditory sounds synchronization, and feedback assessment, have been developed for the START system. The QA procedures developed here for the START system could be easily adapted to other respiratory training systems based on audiovisual biofeedback.
我们机构已经实施了一种基于视听生物反馈的呼吸训练系统，旨在提高患者在四维（4D）计算机断层扫描（CT）图像采集期间的呼吸规律性。其目的是帮助消除因呼吸不规则而导致的 4D-CT 图像中的伪影，并提高治疗过程中的输送效率，因为呼吸不规则是一个关注点。本文介绍了为该外周呼吸训练系统（斯坦福呼吸训练系统，即 START 系统）开发的调试和质量保证（QA）程序。该系统使用瓦里安实时位置管理系统进行呼吸信号输入，完成了 START 软件的调试，并能够采集样本呼吸轨迹，创建特定于患者的引导波形，并生成改善呼吸规律性的视听信号。为 START 系统开发了包括硬件维护、可视化引导波形创建、音频同步和反馈评估在内的常规 QA 测试。这里为 START 系统开发的 QA 程序可以轻松应用于其他基于视听生物反馈的呼吸训练系统。
