German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
Medical Faculty, Heidelberg University, Heidelberg, Germany.
Sci Data. 2024 May 25;11(1):536. doi: 10.1038/s41597-024-03307-y.
Spectral imaging has the potential to become a key technique in interventional medicine as it unveils much richer optical information compared to conventional RBG (red, green, and blue)-based imaging. Thus allowing for high-resolution functional tissue analysis in real time. Its higher information density particularly shows promise for the development of powerful perfusion monitoring methods for clinical use. However, even though in vivo validation of such methods is crucial for their clinical translation, the biomedical field suffers from a lack of publicly available datasets for this purpose. Closing this gap, we generated the SPECTRAL Perfusion Arm Clamping dAtaset (SPECTRALPACA). It comprises ten spectral videos (∼20 Hz, approx. 20,000 frames each) systematically recorded of the hands of ten healthy human participants in different functional states. We paired each spectral video with concisely tracked regions of interest, and corresponding diffuse reflectance measurements recorded with a spectrometer. Providing the first openly accessible in human spectral video dataset for perfusion monitoring, our work facilitates the development and validation of new functional imaging methods.
光谱成像是介入医学中的一项关键技术，因为它能揭示比传统基于 RGB（红、绿、蓝）成像更丰富的光学信息。这使得能够实时进行高分辨率的功能组织分析。它更高的信息密度特别为开发用于临床应用的强大灌注监测方法提供了希望。然而，尽管此类方法的体内验证对于其临床转化至关重要，但生物医学领域为此目的缺乏公开可用的数据集。为了弥补这一差距，我们生成了 SPECTRAL Perfusion Arm Clamping dAtaset（SPECTRALPACA）。它包含十个光谱视频（∼20 Hz，每个约 20,000 帧），系统地记录了十个健康人类参与者在不同功能状态下的手部。我们将每个光谱视频与简明跟踪的感兴趣区域以及使用光谱仪记录的相应漫反射测量值进行配对。提供用于灌注监测的第一个公开可访问的人类光谱视频数据集，我们的工作促进了新的功能成像方法的开发和验证。
