To prevent further brain tumour growth, malignant tissue should be removed as completely as possible in neurosurgical operations. Therefore, differentiation between tumour and brain tissue as well as detecting functional areas is very important. Hyperspectral imaging (HSI) can be used to get spatial information about brain tissue types and characteristics in a quasi-continuous reflection spectrum. In this paper, workflow and some aspects of an adapted hardware system for intraoperative hyperspectral data acquisition in neurosurgery are discussed. By comparing an intraoperative with a laboratory setup, the influences of the surgical microscope are made visible through the differences in illumination and a pixel- and wavelength-specific signal-to-noise ratio (SNR) calculation. Due to the significant differences in shape and wavelength-dependent intensity of light sources, it can be shown which kind of illumination is most suitable for the setups. Spectra between 550 and 1,000 nm are characterized of at least 40 dB SNR in laboratory and 25 dB in intraoperative setup in an area of the image relevant for evaluation. A first validation of the intraoperative hyperspectral imaging hardware setup shows that all system parts and intraoperatively recorded data can be evaluated. Exemplarily, a classification map was generated that allows visualization of measured properties of raw data. The results reveal that it is possible and beneficial to use HSI for wavelength-related intraoperative data acquisition in neurosurgery. There are still technical facts to optimize for raw data detection prior to adapting image processing algorithms to specify tissue quality and function.

中文翻译：

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神经外科术中高光谱数据采集的工作流程和硬件


为了防止脑肿瘤进一步生长，在神经外科手术中应尽可能彻底地切除恶性组织。因此，区分肿瘤和脑组织以及检测功能区域非常重要。高光谱成像（HSI）可用于获取准连续反射光谱中有关脑组织类型和特征的空间信息。本文讨论了神经外科术中高光谱数据采集的工作流程和适配硬件系统的一些方面。通过比较术中与实验室设置，通过照明的差异以及像素和波长特定的信噪比 (SNR) 计算，可以看到手术显微镜的影响。由于光源的形状和波长相关强度存在显着差异，因此可以显示哪种照明最适合设置。 550 至 1,000 nm 之间的光谱在实验室中具有至少 40 dB 的信噪比，在与评估相关的图像区域的术中设置中具有至少 25 dB 的信噪比。术中高光谱成像硬件设置的首次验证表明，可以评估所有系统部件和术中记录的数据。示例性地，生成了分类图，其允许原始数据的测量属性的可视化。结果表明，在神经外科中使用 HSI 进行波长相关的术中数据采集是可能且有益的。在采用图像处理算法来指定组织质量和功能之前，仍然有一些技术事实需要优化原始数据检测。