Tumor margin analysis in resected breast tissue using hyperspectral dark-field microscopy (Conference Presentation)

Hanh N. D. Le; David M. McClatchy III; David W. Allen; Kimberly A. Briggman; Brian W. Pogue; Wendy A. Wells M.D.; Jeeseong Hwang

doi:10.1117/12.2561804

9 March 2020 Tumor margin analysis in resected breast tissue using hyperspectral dark-field microscopy (Conference Presentation)

Hanh N. D. Le, David M. McClatchy III, David W. Allen, Kimberly A. Briggman, Brian W. Pogue, Wendy A. Wells M.D., Jeeseong Hwang

Author Affiliations +

Proceedings Volume 11231, Design and Quality for Biomedical Technologies XIII; 112310F (2020) https://doi.org/10.1117/12.2561804
Event: SPIE BiOS, 2020, San Francisco, California, United States

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

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available