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Foto av Nina Reistad

Nina Reistad

Universitetslektor

Foto av Nina Reistad

Extended-wavelength diffuse reflectance spectroscopy with a machine-learning method for in vivo tissue classification

Författare

  • Ulf Dahlstrand
  • Rafi Sheikh
  • Cu Dybelius Ansson
  • Khashayar Memarzadeh
  • Nina Reistad
  • Malin Malmsjö

Summary, in English

OBJECTIVES: An extended-wavelength diffuse reflectance spectroscopy (EWDRS) technique was evaluated for its ability to differentiate between and classify different skin and tissue types in an in vivo pig model.

MATERIALS AND METHODS: EWDRS recordings (450-1550 nm) were made on skin with different degrees of pigmentation as well as on the pig snout and tongue. The recordings were used to train a support vector machine to identify and classify the different skin and tissue types.

RESULTS: The resulting EWDRS curves for each skin and tissue type had a unique profile. The support vector machine was able to classify each skin and tissue type with an overall accuracy of 98.2%. The sensitivity and specificity were between 96.4 and 100.0% for all skin and tissue types.

CONCLUSION: EWDRS can be used in vivo to differentiate between different skin and tissue types with good accuracy. Further development of the technique may potentially lead to a novel diagnostic tool for e.g. non-invasive tumor margin delineation.

Avdelning/ar

  • Forskargruppen för oftalmologisk avbildning
  • Oftalmologi, Lund
  • Atomfysik
  • NPWT teknologin

Publiceringsår

2019

Språk

Engelska

Publikation/Tidskrift/Serie

PLoS ONE

Volym

14

Issue

10

Dokumenttyp

Artikel i tidskrift

Förlag

Public Library of Science (PLoS)

Ämne

  • Biomedical Laboratory Science/Technology
  • Atom and Molecular Physics and Optics

Aktiv

Published

Forskningsgrupp

  • Ophthalmology Imaging Research Group
  • NPWT technology

ISBN/ISSN/Övrigt

  • ISSN: 1932-6203