Automatic segmentation of common carotid artery in longitudinal mod eultra sound images using active oblongs

Kumar, Harish J R and Teotia, Kartik and Raj, Kevin P and Andrade, Jasbon (2019) Automatic segmentation of common carotid artery in longitudinal mod eultra sound images using active oblongs. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019, 12/05/2019, Brighton Center, Brighton, United Kingdom.

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Abstract

We propose a fully automated algorithm for the segmentation of common carotid artery in longitudinal mode ultrasound images using active oblongs. The problem of segmentation and subsequent delineation of lumen-intima layer is solved as an optimization of a locally defined contrast function with respect to five degrees-of-freedom that characterize the active oblong. The detection of the common carotid artery and subsequent initialization of the active oblong inside the common carotid artery region has been done using a combination of binary thresholding, Hough transform, and pixel-offset operations. The algorithm has been validated on the Brno university signal processing lab B-mode ultrasound image database, which contains 84 longitudinal mode ultrasound images of the common carotid artery. The segmentationresultsarevalidatedagainstthegroundtruthprovidedby two practising radiologists using Jaccard and Dice similarity measures. We have achieved a detection and segmentation accuracy of 95.2% and 97.5%, respectively

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Common carotid artery (CCA), segmentation, oblong, Hough transforms, ultrasound (US) images
Subjects: Engineering > MIT Manipal > Electrical and Electronics
Depositing User: MIT Library
Date Deposited: 03 Jul 2019 08:57
Last Modified: 03 Jul 2019 08:57
URI: http://eprints.manipal.edu/id/eprint/154100

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