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

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Proceedings of International Conference on Internet Computing and Information Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 216))

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Abstract

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.

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Correspondence to V. Savithri .

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Savithri, V., Purushothaman, S. (2014). Detections of Intima-Media Thickness in B-Mode Carotid Artery Images Using Segmentation Methods. In: Sathiakumar, S., Awasthi, L., Masillamani, M., Sridhar, S. (eds) Proceedings of International Conference on Internet Computing and Information Communications. Advances in Intelligent Systems and Computing, vol 216. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1299-7_44

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  • DOI: https://doi.org/10.1007/978-81-322-1299-7_44

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1298-0

  • Online ISBN: 978-81-322-1299-7

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