Detections of Intima-Media Thickness in B-Mode Carotid Artery Images Using Segmentation Methods

  • V. Savithri
  • S. Purushothaman
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 216)


This study presents the investigations carried out on carotid artery to identify the intima-media thickness of carotid artery that affected with plaques. B-mode ultrasound image video of the artery has been used as the data for processing. The frames of the video are processed to know the plaque properties of the artery. In order to achieve this, two segmentation processing techniques have been used on each frame. The features extracted from the frames are consolidated to know the conditions of the artery. Information of a frame are converted into features. The values of the features are estimated by artificial neural network (ANN) algorithm. ANN has not been used extensively by the past. ANN is used in estimating the plaque thickness in the carotid artery.


B-mode Back propagation network Pattern recognition Artificial neural network Clustering 


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Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Department of Computer ScienceMother Teresa Women’s UniversityKodaikanalIndia
  2. 2.PET Engineering CollegeTirunelveliIndia

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