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13 March 2024 Multispectral brain image registration and segmentation
Zepeng Hu, Giulio Anichini, Stamatia Giannarou, Kevin O'Neill, Daniel Elson
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Proceedings Volume PC12831, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII; PC1283104 (2024) https://doi.org/10.1117/12.3001385
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
This research aims to deal with intraoperative multispectral images taken from brain tumour surgeries to investigate the diagnostic and guidance potential of MSI. These images were registered by feature-based (SIFT, PFN), intensity-based (LK) and machine learning (RANSAC-Flow) methods and classified via a CNN and Transformer model using anatomical labels. Based on the results from some initial training, MSI could achieve 95% overall accuracy. After labelling and registration are completed, a brain surgery dataset can be built to support intraoperative decision making.
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Zepeng Hu, Giulio Anichini, Stamatia Giannarou, Kevin O'Neill, and Daniel Elson "Multispectral brain image registration and segmentation", Proc. SPIE PC12831, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII, PC1283104 (13 March 2024); https://doi.org/10.1117/12.3001385
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KEYWORDS
Image registration
Brain
Image segmentation
Multispectral imaging
Neuroimaging
Microscopes
Education and training
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