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Fotoakustik Mikroskopi Doku Görüntülerinde Pigment Siniri ve Derinlik Belirleme Tekniǧi

  • Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

Photoacoustic microscopy is a new medical imaging technique that has begun to be used for imaging skin tissue. The tissue viewed in photoacoustic microscopy is divided into pixels and the photoacoustic signal from each pixel is displayed, and depth information cannot be observed in these images. In this study, in order to determine the depths of the pigments from the data obtained by photoacoustic microscopy of the pigmented regions in the three-layer skin environment, a method was developed that first determines the boundaries of the pigmented regions. Photoacoustic microscopy data were obtained by making measurements from the skin model produced by placing inks in a three-layer PDMS phantom in a laboratory environment. Depth information, location and boundary information of the pigmented regions were determined from the image obtained by interpreting the maximum amplitude photoacoustic signal value and the time information of this value with the gradient calculation.

Tercüme edilen katkı başlığıPigment Boundary and Depth Determination Technique for Photoacoustic Microscopy Image of Tissue
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2022 30th Signal Processing and Communications Applications Conference, SIU 2022
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781665450928
DOI'lar
Yayın durumuYayınlandı - 2022
Etkinlik30th Signal Processing and Communications Applications Conference, SIU 2022 - Safranbolu, Türkiye
Süre: 15 May 202218 May 2022

Yayın serisi

Adı2022 30th Signal Processing and Communications Applications Conference, SIU 2022

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???event.eventtypes.event.conference???30th Signal Processing and Communications Applications Conference, SIU 2022
Ülke/BölgeTürkiye
ŞehirSafranbolu
Periyot15/05/2218/05/22

Bibliyografik not

Publisher Copyright:
© 2022 IEEE.

Keywords

  • depth calculation
  • layered medium
  • photoacoustic imaging
  • segmentation

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