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15 March 2023 Multi-domain cotraining for tissue segmentation in fixed and fresh brain tissue using Mueller polarimetry (Conference Presentation)
Richard McKinley, Leonard A. Felger, Romain Gros, Ekkehard Hewer, Theoni Maragkou, Stefano Moriconi, Michael Murek, Tatiana Novikova, Omar Rodrıguez-Nunez, Angelo Pierangelo, Philippe Schucht
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Proceedings Volume PC12382, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2023; PC1238208 (2023) https://doi.org/10.1117/12.2649787
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Delineating the boundary of a tumors from healthy brain tissue is a challenging task in neurosurgery. Mueller polarimetry imaging promises to visualise and segment these borders in real-time, based on optical properties correlated with the directionality of densely packed white-matter fiber-bundles. In prior work, we demonstrated deep-learning methods leveraging Mueller polarimetry outperformed traditional approaches with similar segmentation tasks. However, formalin-fixation vs. fresh sample tissue and differences of human vs. animal brain tissue properties may hinder the direct applicability to neurosurgical scenarios. To overcome this potential limitation, we propose a learning-based strategy by jointly training on augmented multi-domain data together with model fine-tuning to improve tissue segmentation.
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Richard McKinley, Leonard A. Felger, Romain Gros, Ekkehard Hewer, Theoni Maragkou, Stefano Moriconi, Michael Murek, Tatiana Novikova, Omar Rodrıguez-Nunez, Angelo Pierangelo, and Philippe Schucht "Multi-domain cotraining for tissue segmentation in fixed and fresh brain tissue using Mueller polarimetry (Conference Presentation)", Proc. SPIE PC12382, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2023, PC1238208 (15 March 2023); https://doi.org/10.1117/12.2649787
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KEYWORDS
Tissues
Brain
Tissue optics
Polarimetry
Image segmentation
Neuroimaging
Real time imaging
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