Ex vivo brain tumor analysis using spectroscopic optical coherence tomography

Marcel Lenz; Robin Krug; Hubert Welp; Kirsten Schmieder; Martin R. Hofmann

doi:10.1117/12.2214704

8 March 2016 Ex vivo brain tumor analysis using spectroscopic optical coherence tomography

Marcel Lenz, Robin Krug, Hubert Welp, Kirsten Schmieder, Martin R. Hofmann

Proceedings Volume 9697, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XX; 96973D (2016) https://doi.org/10.1117/12.2214704
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

A big challenge during neurosurgeries is to distinguish between healthy tissue and cancerous tissue, but currently a suitable non-invasive real time imaging modality is not available. Optical Coherence Tomography (OCT) is a potential technique for such a modality. OCT has a penetration depth of 1-2 mm and a resolution of 1-15 μm which is sufficient to illustrate structural differences between healthy tissue and brain tumor. Therefore, we investigated gray and white matter of healthy central nervous system and meningioma samples with a Spectral Domain OCT System (Thorlabs Callisto). Additional OCT images were generated after paraffin embedding and after the samples were cut into 10 μm thin slices for histological investigation with a bright field microscope. All samples were stained with Hematoxylin and Eosin. In all cases B-scans and 3D images were made. Furthermore, a camera image of the investigated area was made by the built-in video camera of our OCT system. For orientation, the backsides of all samples were marked with blue ink. The structural differences between healthy tissue and meningioma samples were most pronounced directly after removal. After paraffin embedding these differences diminished. A correlation between OCT en face images and microscopy images can be seen. In order to increase contrast, post processing algorithms were applied. Hence we employed Spectroscopic OCT, pattern recognition algorithms and machine learning algorithms such as k-means Clustering and Principal Component Analysis.

Citation Download Citation

Marcel Lenz, Robin Krug, Hubert Welp, Kirsten Schmieder, and Martin R. Hofmann "Ex vivo brain tumor analysis using spectroscopic optical coherence tomography", Proc. SPIE 9697, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XX, 96973D (8 March 2016); https://doi.org/10.1117/12.2214704

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