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Dergiler / Electronic Letters on Science and Engineering / 2018 / Volume: 14 Issue: 3

3D Mass Visualization of Thyroid CT Images thru Marching Cubes Method

Ahmet Haşim Yurttakal(BOZOK ÜNİVERSİTESİ)
Hasan Erbay(KIRIKKALE ÜNİVERSİTESİ)
Türkan İkizceli(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ)
Seyhan Karaçavuş(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ)
Gökalp Çınarer(BOZOK ÜNİVERSİTESİ)
Sayfa
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Yayın Tarihi
2018-12-03
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Thyroid cancer tumors were modelled in 3D using the pixel values thru Marching Cubes Algorithm.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Thyroid cancer is the type of cancer caused by the cells of the thyroid gland.
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Temel Bulgular & Veri:Herein, we present an algorithm to 3D visualize thyroid cancer using 2D Dicom images.
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Sonuç & Katkı:Thyroid cancer tumors were modelled in 3D using the pixel values thru Marching Cubes Algorithm.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Computed Tomography (CT) · Marching Cubes Algorithms · Hounsfield Unit (HU)

Abstract

Thyroid cancer is the type of cancer caused by the cells of the thyroid gland. This is less common than other types of cancer. If the correct diagnosis is made and appropriate treatment is given, the disease can be completely removed. Herein, we present an algorithm to 3D visualize thyroid cancer using 2D Dicom images. As is known, Dicom is the de-facto file standard in medical imaging, and these files contain useful metadata as well. We use some of these meta-attributes to calculate the Hounsfield Unit. In other words, the pixel values ​​are calculated according to the average attenuation of the tissue corresponding to a scale of -1024 to + 3071 on the Hounsfield scale. Dicom images used in the study were obtained from patients under the supervision of specialist doctors. Thyroid cancer tumors were modelled in 3D using the pixel values thru Marching Cubes Algorithm.

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Bu Makaleye Atıf Yap

Yurttakal, A. H., Erbay, H., İkizceli, T., Karaçavuş, S., Çınarer, G. (2018). 3D Mass Visualization of Thyroid CT Images thru Marching Cubes Method. Electronic Letters on Science and Engineering, Volume: 14 Issue: 3. https://ajindex.com/articles/1181030

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Kaynakça (3)

  1. Associate Professor Necaattin Barışçı, Computer Engineering Department, Engineering Faculty, Gazi University, 06500 Ankara-Turkey, [email protected]
  2. Asistant Professor Hüseyin Polat, Computer Engineering Department, Engineering Faculty, Gazi University, 06500 Ankara-Turkey, [email protected]
  3. Professor Mehmet Reşit Tolun, Electric & Electronic Engineering Department, Engineering Faculty, Aksaray University, 68100 Aksaray-Turkey, [email protected]