Naslov
Automatic CT Image Segmentation of the Lungs with Region Growing Algorithm

Autori
Mešanović, Nihad ; Grgić, Mislav ; Huseinagić, Haris ; Maleš, Matija ; Skejić, Emir ; Smajlović, Muamer

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
PROCEEDINGS IWSSIP 2011 / Zovko-Cihlar, Branka ; Behlilović, Narcis ; Hadžialić, Mesud - Sarajevo : Faculty of Electrical Engineering, University of Sarajevo, 2011, 395-400

ISBN
978-9958-9966-1-0

Skup
18th International Conference on Systems, Signals and Image Processing, IWSSIP 2011

Mjesto i datum
Sarajevo, Bosna i Hercegovina, 16.06.2011. - 18.06.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Computer Aided Diagnosis; Lung Extraction; Region Growing Algorithm

Sažetak
Computer aided diagnosis of lung CT image has been a revolutionary step in the early diagnosing of lung diseases. The best method of implementing computer aided diagnosis for medical image analysis is first to preprocess the image in order to segment it. The first step in computer aided diagnosis of lung computed tomography patient image is generally to first segment the region of interest, in this case lung, and then analyze separately each area obtained, for a tumor, cancer, node detection or other pathology for diagnosis. This is generally much easier approach, because the area used for setting the right diagnosis, is getting smaller with the process of segmentation, so the radiologist can focus his observation only on specific data inside the specific region. In this paper we proposed lung segmentation technique to accurately segment the lung parenchyma of lung CT images, which can help radiologist in early diagnosing lung diseases, but the algorithm can also be used to early diagnose other benign or malignant pathologies in other organs, such as liver, brain or spine.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA