Wabnitz Heidrun, Jelzow Alexander, Mazurenka Mikhail, Steinkellner Oliver, Macdonald Rainer, Milej Daniel, Żołek Norbert, Kacprzak Michal, Sawosz Piotr, Maniewski Roman, Liebert Adam, Magazov Salavat, Hebden Jeremy, Martelli Fabrizio, Di Ninni Paola, Zaccanti Giovanni, Torricelli Alessandro, Contini Davide, Re Rebecca, Zucchelli Lucia, Spinelli Lorenzo, Cubeddu Rinaldo, Pifferi Antonio
Physikalisch-Technische Bundesanstalt (PTB), Abbestraße 2-12, 10587 Berlin, Germany.
Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, ul. Trojdena 4, 02-109 Warsaw, Poland.
J Biomed Opt. 2014 Aug;19(8):086012. doi: 10.1117/1.JBO.19.8.086012.
The nEUROPt protocol is one of two new protocols developed within the European project nEUROPt to characterize the performances of time-domain systems for optical imaging of the brain. It was applied in joint measurement campaigns to compare the various instruments and to assess the impact of technical improvements. This protocol addresses the characteristic of optical brain imaging to detect, localize, and quantify absorption changes in the brain. It was implemented with two types of inhomogeneous liquid phantoms based on Intralipid and India ink with well-defined optical properties. First, small black inclusions were used to mimic localized changes of the absorption coefficient. The position of the inclusions was varied in depth and lateral direction to investigate contrast and spatial resolution. Second, two-layered liquid phantoms with variable absorption coefficients were employed to study the quantification of layer-wide changes and, in particular, to determine depth selectivity, i.e., the ratio of sensitivities for deep and superficial absorption changes. We introduce the tests of the nEUROPt protocol and present examples of results obtained with different instruments and methods of data analysis. This protocol could be a useful step toward performance tests for future standards in diffuse optical imaging.
nEUROPt协议是欧洲项目nEUROPt中开发的两个新协议之一,用于表征用于脑光学成像的时域系统的性能。它被应用于联合测量活动中,以比较各种仪器并评估技术改进的影响。该协议针对光学脑成像检测、定位和量化大脑中吸收变化的特性。它是基于具有明确光学特性的脂质体和印度墨水的两种非均匀液体模型实现的。首先,使用小黑包块来模拟吸收系数的局部变化。包块的位置在深度和横向方向上变化,以研究对比度和空间分辨率。其次,采用具有可变吸收系数的双层液体模型来研究全层变化的量化,特别是确定深度选择性,即深部和浅表吸收变化的灵敏度之比。我们介绍了nEUROPt协议的测试,并展示了使用不同仪器和数据分析方法获得的结果示例。该协议可能是迈向未来漫射光学成像标准性能测试的有用一步。