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- W2293923393 abstract "A big challenge during neurosurgeries is to distinguish between healthy tissue and cancerous tissue, but currently a suitablenon-invasive real time imaging modality is not available. Optical Coherence Tomography (OCT) is a potential techniquefor such a modality. OCT has a penetration depth of 1-2 mm and a resolution of 1-15 μm which is sufficient to illustratestructural differences between healthy tissue and brain tumor. Therefore, we investigated gray and white matter of healthycentral nervous system and meningioma samples with a Spectral Domain OCT System (Thorlabs Callisto). AdditionalOCT images were generated after paraffin embedding and after the samples were cut into 10 μm thin slices for histologicalinvestigation with a bright field microscope. All samples were stained with Hematoxylin and Eosin. In all cases B-scansand 3D images were made. Furthermore, a camera image of the investigated area was made by the built-in video cameraof our OCT system. For orientation, the backsides of all samples were marked with blue ink. The structural differencesbetween healthy tissue and meningioma samples were most pronounced directly after removal. After paraffin embeddingthese differences diminished. A correlation between OCT en face images and microscopy images can be seen. In order toincrease contrast, post processing algorithms were applied. Hence we employed Spectroscopic OCT, pattern recognitionalgorithms and machine learning algorithms such as k-means Clustering and Principal Component Analysis." @default.
- W2293923393 created "2016-06-24" @default.
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- W2293923393 date "2016-03-08" @default.
- W2293923393 modified "2023-10-18" @default.
- W2293923393 title "Ex vivo brain tumor analysis using spectroscopic optical coherence tomography" @default.
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- W2293923393 doi "https://doi.org/10.1117/12.2214704" @default.
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