Department of Biomedical Engineering, Washington University in Saint Louis, Saint Louis, MO 63130-4899, USA.
Am J Physiol Heart Circ Physiol. 2012 Oct 1;303(7):H753-65. doi: 10.1152/ajpheart.00404.2012. Epub 2012 Jul 20.
Optical mapping has become an increasingly important tool to study cardiac electrophysiology in the past 20 years. Multiple methods are used to process and analyze cardiac optical mapping data, and no consensus currently exists regarding the optimum methods. The specific methods chosen to process optical mapping data are important because inappropriate data processing can affect the content of the data and thus alter the conclusions of the studies. Details of the different steps in processing optical imaging data, including image segmentation, spatial filtering, temporal filtering, and baseline drift removal, are provided in this review. We also provide descriptions of the common analyses performed on data obtained from cardiac optical imaging, including activation mapping, action potential duration mapping, repolarization mapping, conduction velocity measurements, and optical action potential upstroke analysis. Optical mapping is often used to study complex arrhythmias, and we also discuss dominant frequency analysis and phase mapping techniques used for the analysis of cardiac fibrillation.
光学标测在过去的 20 年中已成为研究心脏电生理学的重要工具。目前有多种方法可用于处理和分析心脏光学标测数据,但尚未就最佳方法达成共识。选择用于处理光学标测数据的具体方法非常重要,因为不适当的数据处理会影响数据的内容,从而改变研究的结论。本文详细介绍了处理光学成像数据的不同步骤,包括图像分割、空间滤波、时间滤波和基线漂移去除。我们还介绍了对心脏光学成像获得的数据进行的常见分析,包括激活标测、动作电位时程标测、复极标测、传导速度测量和光动作电位上升分析。光学标测常用于研究复杂的心律失常,我们还讨论了用于分析心脏颤动的主导频率分析和相位标测技术。