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Deri Kanserinin Fotoakustik Goruntulenmesinde Deri Katmanlarindaki Belirsizliklerin Etkisi

Translated title of the contribution: The Effect of Uncertainties in Skin Layers on Photoacoustic Imaging of Skin Cancer
  • Baskent University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Photoacoustic imaging has started to be used as a new modality for imaging cancerous tissues in layered skin tissue consisting of epidermis, dermis and hypodermis layers. In the imaging algorithms used in photoacoustic imaging, the layered environment Green function is calculated by assuming that the thickness of each layer is known and imaging is performed. However, the value of these layer thicknesses varies from person to person and it is not possible to know the actual values during imaging. In this study, what kind of errors in the estimation of skin layer thicknesses will lead to the errors in photoacoustic imaging is investigated by using Back-projection imaging algorithm. For this purpose, the error rates at the site of cancerous tissue were determined due to changes in layer thicknesses in layer structures with different acoustic properties.

Translated title of the contributionThe Effect of Uncertainties in Skin Layers on Photoacoustic Imaging of Skin Cancer
Original languageTurkish
Title of host publication2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728172064
DOIs
Publication statusPublished - 5 Oct 2020
Event28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey
Duration: 5 Oct 2020 → 7 Oct 2020

Publication series

Name2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

Conference

Conference28th Signal Processing and Communications Applications Conference, SIU 2020
Country/TerritoryTurkey
CityGaziantep
Period5/10/20 → 7/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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