NIR-SWIR Spectroscopy and Imaging Techniques in Biomedical Applications—Experimental Results

Yaniv Cohen, Ben Zion Dekel, Zafar Yuldashev, Nathan Blaunstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The present work is a continuation of the previous research on theoretical and experimental analysis of novel methods of infrared tomography for earlier diagnosis of gastric colorectal and cervical cancers, based on thermal imaging in mice. In this work, we present a preclinical experimental analysis of lung and mammary cancers, based on near-infrared (NIR)—shortwave infrared (SWIR) spectroscopy and imaging techniques, which can be approbated for different biomedical applications. It was obtained experimentally that highly significant reduction in temperature can be produced by relatively small tumors and, therefore, small metastasis less than 1 mm can be detected and observed. It was shown that usage of the SWIR camera during experimental trials allows to obtain deeper penetration in the mucosae and clear view of a tumor compared to visual camera.

Original languageEnglish
Title of host publicationIntelligent Decision Technologies - Proceedings of the 14th KES-IDT 2022 Conference
EditorsIreneusz Czarnowski, Robert J. Howlett, Robert J. Howlett, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages123-135
Number of pages13
ISBN (Print)9789811934438
DOIs
StatePublished - 1 Jan 2022
Externally publishedYes
Event14th International KES Conference on Intelligent Decision Technologies, KES-IDT 2022 - Virtual, Online
Duration: 20 Jun 202222 Jun 2022

Publication series

NameSmart Innovation, Systems and Technologies
Volume309
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference14th International KES Conference on Intelligent Decision Technologies, KES-IDT 2022
CityVirtual, Online
Period20/06/2222/06/22

Keywords

  • Cancer
  • Imaging
  • Short wave infra-red
  • Thermal imaging

ASJC Scopus subject areas

  • General Decision Sciences
  • General Computer Science

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