TY  - JOUR
T1  - 3D Mass Visualization of Thyroid CT Images thru Marching Cubes Method
AU  - Yurttakal, Ahmet Haşim
AU  - Erbay, Hasan
AU  - İkizceli, Türkan
AU  - Karaçavuş, Seyhan
AU  - Çınarer, Gökalp
PY  - 2018
DA  - December
JF  - Electronic Letters on Science and Engineering
PB  - Fevzullah TEMURTAŞ
WT  - DergiPark
SN  - 1305-8614
SP  - 20
EP  - 26
VL  - 14
IS  - 3
LA  - en
AB  - 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.
KW  - Computed Tomography (CT)
KW  - Marching Cubes Algorithms
KW  - Hounsfield Unit (HU)
CR  - Associate Professor Necaattin Barışçı, Computer Engineering Department, Engineering Faculty, Gazi University, 06500 Ankara-Turkey, nbarisci@gazi.edu.tr
CR  - Asistant Professor Hüseyin Polat, Computer Engineering Department, Engineering Faculty, Gazi University, 06500 Ankara-Turkey, polath@gazi.edu.tr
CR  - Professor Mehmet Reşit Tolun, Electric & Electronic Engineering Department, Engineering Faculty, Aksaray University, 68100 Aksaray-Turkey, mrtolun@baskent.edu.tr
UR  - https://dergipark.org.tr/en/pub/else/article/436897
L1  - https://dergipark.org.tr/en/download/article-file/598455
ER  -