Title :
Segmentation of CT Head Images
Author :
Lee, Tong Hau ; Fauzi, Mohammad Faizal Ahmad ; Komiya, Ryoichi
Author_Institution :
Fac. of Inf. Technol., Multimedia Univ., Selangor
Abstract :
This paper presents the segmentation of the CT head images with different techniques. The system partitions the CT head images into four regions which are skull, calcifications, cerebrospinal fluid (CSF) and brain matter. The method consists of two phases. The first phase is to partition the skull, CSF and brain matter in which we applied the expectation- maximization (EM) algorithm for the segmentation. The second phase is to identify the calcifications where we used thresholding. The system has been tested with a number of real CT head images and has achieved promising results.
Keywords :
bone; brain; computerised tomography; image segmentation; medical image processing; CT head images; brain matter; calcifications; cerebrospinal fluid; expectation-maximization algorithm; image segmentation; skull image; thresholding; Biomedical engineering; Biomedical imaging; Bones; Brain; Computed tomography; Histograms; Image segmentation; Magnetic heads; Skull; X-ray imaging; Expectation-maximization; Image segmentation; Medical images;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.306