Automatic Detection of Common Carotid Artery in Transverse Mode Ultrasound Images

Kumar, JRH and Singh, BK (2018) Automatic Detection of Common Carotid Artery in Transverse Mode Ultrasound Images. In: 14th IEEE India Council International Conference, INDICON 2017, 15 - 17 December 2017, Roorkee.

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Abstract

Automatic detection of common carotid artery is a precursor to the computer-aided analysis of atherosclerosis. In this paper, we present an approach for common carotid artery detection based on normalized matched filtering technique. The algorithm performance is optimized by introducing vector inner products and norms instead of conventional mean and variance computations. The difficulties of matched filtering are overcome by normalizing the image and template vectors to unit length, yielding a cosine similarity metric. We report common carotid artery detection results on Brno University of Technology, Signal Processing laboratory (SP lab) carotid artery database amounting to a total of 971 transverse mode ultrasound images out of which 538 and 433 images are taken from Ultrasonics and Toshiba ultrasound imaging devices, respectively. The proposed method results in a common carotid artery detection accuracy of 97.63 with a detection time per image of 2.21 seconds. We show that the normalized matched filtering is a reasonable choice for detection of common carotid artery in ultrasound images.

Item Type:	Conference Paper
Publication:	2017 14th IEEE India Council International Conference, INDICON 2017
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc.
Keywords:	Computer aided analysis; Diseases; Error detection; Matched filters; Ultrasonic imaging, Algorithm performance; Atherosclerosis; Common carotid artery; Cosine similarity metric; Signalprocessing laboratories; Stroke; Ultrasound images; University of technologies, Signal processing
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	02 Aug 2022 12:24
Last Modified:	02 Aug 2022 12:24
URI:	https://eprints.iisc.ac.in/id/eprint/75208

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