Segmentation of lung CT images with random walk algorithm

Author

Ozen, Yunus ; Kose, C.

Author_Institution

Bilgisayar Muhendisligi Bolumu, Karadeniz Teknik Univ., Trabzon, Turkey

fYear

2014

fDate

23-25 April 2014

Firstpage

2206

Lastpage

2208

Abstract

Lung segmentation operation is handling a very important role for determining unhealthy tissues and thus diagnosis and treatment of lung cancer. In this work Lung CT images are segmented by using Random Walk algorithm. First 25 DICOM images belong to 4 patients are read for processing and 8-bit gray level images obtained. For interactive segmentation, the seed points are set and applied as input parameters to the algorithm. Using the output values, the segmentation finished with an accuracy of average %95.

Keywords

biological tissues; cancer; computerised tomography; image segmentation; lung; medical image processing; patient diagnosis; patient treatment; DICOM images; gray level images; interactive segmentation; lung CT image segmentation; lung cancer diagnosis; lung cancer treatment; lung segmentation operation; random walk algorithm; seed points; unhealthy tissues; word length 8 bit; Cancer; Computed tomography; Conferences; DICOM; Image segmentation; Lungs; Image segmentation; Lung segmentation; Medical image proccessing; Random Walk; Random Walk segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2014 22nd

Conference_Location

Trabzon

Type

conf

DOI

10.1109/SIU.2014.6830702

Filename

6830702