Comparative analysis of various segmentation methods for brain hemorrhage detection using CT images

Author

Bhadauria, N.S. ; Patel, R.B. ; Bist, M.S. ; Bhadauria, H.S.

Author_Institution

Comput. Se. & Eng. Dept., G.B. Pant Eng. Coll., Pantnagar, India

fYear

2014

fDate

15-17 Dec. 2014

Firstpage

1

Lastpage

5

Abstract

Brain hemorrhage which happens as a result of bleeding due to rupturing of blood vessels within the brain matter is the main causes of human death. This discharge of blood may disturb the normal circulation of the brain. Computed Tomography (CT) has been the primary modality for the detection of brain hemorrhages because it is widely available, less expensive, quick to perform, and depicts rapidly. However intensity inhomogeneity, worst tissue contrast and weak boundaries in CT images may cause significant difficulties in hemorrhage detection. Thus in this paper the performance of various segmentation methods for hemorrhage detection from brain CT images have been evaluated.

Keywords

blood vessels; brain; computerised tomography; image segmentation; medical image processing; object detection; CT images; blood vessel rupture; brain hemorrhage detection; brain matter; comparative analysis; computed tomography; intensity inhomogeneity; segmentation methods; weak boundaries; worst tissue contrast; Accuracy; Active contours; Biomedical imaging; Computed tomography; Hemorrhaging; Image edge detection; Image segmentation; Active contour method; Brain hemorrhage; Computed tomography; Region growing;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial and Information Systems (ICIIS), 2014 9th International Conference on

Conference_Location

Gwalior

Print_ISBN

978-1-4799-6499-4

Type

conf

DOI

10.1109/ICIINFS.2014.7036596

Filename

7036596