Ruderman Sarah, Mueller Scott, Gomes Andrew, Rogers Jeremy, Backman Vadim
Department of Biomedical Engineering, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208, USA.
Biomed Opt Express. 2013 Jul 23;4(8):1401-12. doi: 10.1364/BOE.4.001401. eCollection 2013.
We present a novel algorithm to detect contact with tissue and automate data acquisition. Contact fiber-optic probe systems are useful in noninvasive applications and real-time analysis of tissue properties. However, applications of these technologies are limited to procedures with visualization to ensure probe-tissue contact and individual user techniques can introduce variability. The software design exploits the system previously designed by our group as an optical method to automatically detect tissue contact and trigger acquisition. This method detected tissue contact with 91% accuracy, detected removal from tissue with 83% accuracy and reduced user variability by > 8%. Without the need for additional hardware, this software algorithm can easily integrate into any fiber-optic system and expands applications where visualization is difficult.
我们提出了一种用于检测与组织接触并实现数据采集自动化的新型算法。接触式光纤探头系统在无创应用和组织特性的实时分析中很有用。然而，这些技术的应用仅限于具有可视化功能的程序，以确保探头与组织的接触，而且个体用户技术可能会引入变异性。该软件设计利用了我们团队先前设计的系统，作为一种光学方法来自动检测组织接触并触发采集。该方法检测组织接触的准确率为91%，检测从组织移除的准确率为83%，并将用户变异性降低了8%以上。无需额外硬件，这种软件算法可以轻松集成到任何光纤系统中，并扩展到难以进行可视化的应用场景。
