Automatic Segmentation of Common Carotid Artery in Longitudinal Mode Ultrasound Images Using Active Oblongs

Harish Kumar, JR and Teotia, K and Raj, PK and Andrade, J and Rajagopal, KV and Sekhar Seelamantula, C (2019) Automatic Segmentation of Common Carotid Artery in Longitudinal Mode Ultrasound Images Using Active Oblongs. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 12 - 17 May 2019, Brighton, pp. 1353-1357.

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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 segmentation results are validated against the ground truth provided by 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 Paper
Publication:	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Audio signal processing; Degrees of freedom (mechanics); Hough transforms; Speech communication; Ultrasonic applications, Automatic segmentations; B-mode ultrasound images; Common carotid artery; Dice similarity measures; oblong; Segmentation accuracy; Segmentation results; Ultrasound images, Image segmentation
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	30 Nov 2022 06:49
Last Modified:	30 Nov 2022 06:49
URI:	https://eprints.iisc.ac.in/id/eprint/78376

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