One novel algorithm for the detection of Cerebral Aneurysm using morphological filtering

Author

Mondal, Sudipta ; Chandra, Aniruddha

Author_Institution

Commun. & Signal Process. Eng., Bengal Eng. & Sci. Univ., Howrah, India

fYear

2014

fDate

3-5 April 2014

Firstpage

137

Lastpage

141

Abstract

Cerebral Aneurysm (CA) is a pathological distension of cerebral arteries. Ruptured CA is devastating and causes subarachnoid hemorrhage (SAH) which may even lead to death. This paper proposes one simple but efficient methodology to detect CA from medical images. It comprises of thresholding and morphological filtering in an elegant way. Proposed method has been corroborated on various digital subtraction angiography (DSA) images and results in an accuracy of about 99% for different sizes of cerebral aneurysm.

Keywords

blood vessels; brain; diagnostic radiography; diseases; feature extraction; filtering theory; geometry; image classification; medical disorders; medical image processing; neurophysiology; CA detection accuracy; CA rupture; DSA images; SAH; cerebral aneurysm detection algorithm; cerebral aneurysm size; digital subtraction angiography; morphological filtering; pathological cerebral artery distension; subarachnoid hemorrhage; thresholding; Accuracy; Aneurysm; Arteries; Biomedical imaging; Filtering; Image segmentation; Pathology; 2D cerebral angiogram; cerebral aneurysm; digital subtraction angiography (DSA); morphological filtering;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Signal Processing (ICCSP), 2014 International Conference on

Conference_Location

Melmaruvathur

Print_ISBN

978-1-4799-3357-0

Type

conf

DOI

10.1109/ICCSP.2014.6949815

Filename

6949815