Detection of Cerebral Aneurysm by Performing Thresholding-Spatial Filtering-Thresholding Operations on Digital Subtraction Angiogram

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 177)

Abstract

Cerebral aneurysm (CA) has been emerging as one of the life threatening diseases which have developed a deep concern amongst the neurologists in recent years. To be specific, it shows devastating characteristic due to the formation of abnormal bulging of artery in human brain followed by its rupture. Therefore detection of this abnormality prior to the rupture becomes inevitably essential to save our lives to a great extent. This paper throws enough light in detecting cerebral aneurysm of various sizes by combining the operations of spatial filtering and thresholding in an elegant way. A number of Digital Subtraction Angiogram (DSA) images, affected by cerebral aneurysm of various magnitudes, have been taken into consideration in this connection. Finally, the affected area has been marked with red colour to make it more prominent than the other parts of the image.

Keywords

Digital Subtraction Angiography Intracranial Aneurysm Lattice Boltzmann Method Cerebral Aneurysm Size Aneurysm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Electronics & Telecommunication EngineeringBengal Engineering and Science UniversityHowrahIndia

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