Strupler Mathias, Beckley Amber M, Benboujja Fouzi, Dubois Sylvain, Noiseux Isabelle, Mermut Ozzy, Bouchard Jean-Pierre, Boudoux Caroline
École Polytechnique de Montréal, Department of Engineering Physics, 6079 succursale Centre-ville, Montréal, Quebec H3C 3A7, Canada.
Institut National d'Optique, 2740 Einstein Street, Ville de Québec, Quebec G1P 4S4, Canada.
J Biomed Opt. 2015;20(12):126007. doi: 10.1117/1.JBO.20.12.126007.
With the increasing use of optical coherence tomography (OCT) in biomedical applications, robust yet simple methods for calibrating and benchmarking a system are needed. We present here a procedure based on a calibration object complemented with an algorithm that analyzes three-dimensional OCT datasets to retrieve key characteristics of an OCT system. The calibration object combines state-of-the-art tissue phantom material with a diamond-turned aluminum multisegment mirror. This method is capable of determining rapidly volumetric field-of-view, axial resolution, and image curvature. Moreover, as the phantom material mimics biological tissue, the system’s signal and noise levels can be evaluated in conditions close to biological experiments. We believe this method could improve OCT quantitative data analysis and help OCT data comparison for longitudinal or multicenter studies.
随着光学相干断层扫描（OCT）在生物医学应用中的使用日益增加，需要有强大而简单的系统校准和基准测试方法。我们在此提出一种基于校准对象的程序，并辅以一种算法，该算法分析三维OCT数据集以检索OCT系统的关键特性。校准对象将最先进的组织模拟材料与金刚石车削铝多段镜相结合。该方法能够快速确定体积视场、轴向分辨率和图像曲率。此外，由于模拟材料模仿生物组织，因此可以在接近生物实验的条件下评估系统的信号和噪声水平。我们相信这种方法可以改善OCT定量数据分析，并有助于纵向或多中心研究的OCT数据比较。
