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Structured light imaging for breast-conserving surgery, part I: optical scatter and color analysis
Structured light imaging (SLI) with high spatial frequency (HSF) illumination provides a method to amplify native tissue scatter contrast and better differentiate superficial tissues. This was investigated for margin analysis in breast-conserving surgery (BCS) and imaging gross clinical tissues from...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737988/ https://www.ncbi.nlm.nih.gov/pubmed/31512442 http://dx.doi.org/10.1117/1.JBO.24.9.096002 |
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author | Maloney, Benjamin W. Streeter, Samuel S. McClatchy, David M. Pogue, Brian W. Rizzo, Elizabeth J. Wells, Wendy A. Paulsen, Keith D. |
author_facet | Maloney, Benjamin W. Streeter, Samuel S. McClatchy, David M. Pogue, Brian W. Rizzo, Elizabeth J. Wells, Wendy A. Paulsen, Keith D. |
author_sort | Maloney, Benjamin W. |
collection | PubMed |
description | Structured light imaging (SLI) with high spatial frequency (HSF) illumination provides a method to amplify native tissue scatter contrast and better differentiate superficial tissues. This was investigated for margin analysis in breast-conserving surgery (BCS) and imaging gross clinical tissues from 70 BCS patients, and the SLI distinguishability was examined for six malignancy subtypes relative to three benign/normal breast tissue subtypes. Optical scattering images recovered were analyzed with five different color space representations of multispectral demodulated reflectance. Excluding rare combinations of invasive lobular carcinoma and fibrocystic disease, SLI was able to classify all subtypes of breast malignancy from surrounding benign tissues ([Formula: see text]) based on scatter and color parameters. For color analysis, HSF illumination of the sample generated more statistically significant discrimination than regular uniform illumination. Pathological information about lesion subtype from a presurgical biopsy can inform the search for malignancy on the surfaces of specimens during BCS, motivating the focus on pairwise classification analysis. This SLI modality is of particular interest for its potential to differentiate tissue classes across a wide field-of-view ([Formula: see text]) and for its ability to acquire images of macroscopic tissues rapidly but with microscopic-level sensitivity to structural and morphological tissue constituents. |
format | Online Article Text |
id | pubmed-6737988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-67379882020-02-04 Structured light imaging for breast-conserving surgery, part I: optical scatter and color analysis Maloney, Benjamin W. Streeter, Samuel S. McClatchy, David M. Pogue, Brian W. Rizzo, Elizabeth J. Wells, Wendy A. Paulsen, Keith D. J Biomed Opt Imaging Structured light imaging (SLI) with high spatial frequency (HSF) illumination provides a method to amplify native tissue scatter contrast and better differentiate superficial tissues. This was investigated for margin analysis in breast-conserving surgery (BCS) and imaging gross clinical tissues from 70 BCS patients, and the SLI distinguishability was examined for six malignancy subtypes relative to three benign/normal breast tissue subtypes. Optical scattering images recovered were analyzed with five different color space representations of multispectral demodulated reflectance. Excluding rare combinations of invasive lobular carcinoma and fibrocystic disease, SLI was able to classify all subtypes of breast malignancy from surrounding benign tissues ([Formula: see text]) based on scatter and color parameters. For color analysis, HSF illumination of the sample generated more statistically significant discrimination than regular uniform illumination. Pathological information about lesion subtype from a presurgical biopsy can inform the search for malignancy on the surfaces of specimens during BCS, motivating the focus on pairwise classification analysis. This SLI modality is of particular interest for its potential to differentiate tissue classes across a wide field-of-view ([Formula: see text]) and for its ability to acquire images of macroscopic tissues rapidly but with microscopic-level sensitivity to structural and morphological tissue constituents. Society of Photo-Optical Instrumentation Engineers 2019-09-11 2019-09 /pmc/articles/PMC6737988/ /pubmed/31512442 http://dx.doi.org/10.1117/1.JBO.24.9.096002 Text en © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Imaging Maloney, Benjamin W. Streeter, Samuel S. McClatchy, David M. Pogue, Brian W. Rizzo, Elizabeth J. Wells, Wendy A. Paulsen, Keith D. Structured light imaging for breast-conserving surgery, part I: optical scatter and color analysis |
title | Structured light imaging for breast-conserving surgery, part I: optical scatter and color analysis |
title_full | Structured light imaging for breast-conserving surgery, part I: optical scatter and color analysis |
title_fullStr | Structured light imaging for breast-conserving surgery, part I: optical scatter and color analysis |
title_full_unstemmed | Structured light imaging for breast-conserving surgery, part I: optical scatter and color analysis |
title_short | Structured light imaging for breast-conserving surgery, part I: optical scatter and color analysis |
title_sort | structured light imaging for breast-conserving surgery, part i: optical scatter and color analysis |
topic | Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737988/ https://www.ncbi.nlm.nih.gov/pubmed/31512442 http://dx.doi.org/10.1117/1.JBO.24.9.096002 |
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