Title :
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
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;
Conference_Titel :
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4799-3357-0
DOI :
10.1109/ICCSP.2014.6949815
