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9 March 2020 Tumor margin analysis in resected breast tissue using hyperspectral dark-field microscopy (Conference Presentation)
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Abstract
Hyperspectral dark-field microscopy of resected breast tissues is being developed to assess tumor margins in breast-conserving surgery. Classification between normal/benign and malignancy subtypes is achieved by a spectral angle mapper algorithm, quantifying the similarity of an unclassified spectrum to a known type from a reference spectral library. A library of reference spectra of various tissue types was established by extracting spectra from pathology-confirmed regions of interest in resected breast tissues. The tumor margin analysis is performed by calculating the tissue-dependent angle threshold between the unknown sample and a reference spectrum, treating them as vectors in multi-dimensional hyperspectral space. This work presents methods to determine and validate the tissue type-dependent threshold angles, the reference spectral library of various tissue types, and tumor margin detection in resected human breast tissues.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hanh N. D. Le, David M. McClatchy III, David W. Allen, Kimberly A. Briggman, Brian W. Pogue, Wendy A. Wells M.D., and Jeeseong Hwang "Tumor margin analysis in resected breast tissue using hyperspectral dark-field microscopy (Conference Presentation)", Proc. SPIE 11231, Design and Quality for Biomedical Technologies XIII, 112310F (9 March 2020); https://doi.org/10.1117/12.2561804
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