Automatic Detection of Common Carotid Artery in Transverse Mode Ultrasound Images

J. R.Harish Kumar, Birendra Kumar Singh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2017 14th IEEE India Council International Conference, INDICON 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538643181
DOIs
Publication statusPublished - 09-10-2018
Event14th IEEE India Council International Conference, INDICON 2017 - Roorkee, India
Duration: 15-12-201717-12-2017

Conference

Conference14th IEEE India Council International Conference, INDICON 2017
CountryIndia
CityRoorkee
Period15-12-1717-12-17

Fingerprint

Ultrasonics
Computer aided analysis
Signal processing
Imaging techniques

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Kumar, J. R. H., & Singh, B. K. (2018). Automatic Detection of Common Carotid Artery in Transverse Mode Ultrasound Images. In 2017 14th IEEE India Council International Conference, INDICON 2017 [8487477] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDICON.2017.8487477
Kumar, J. R.Harish ; Singh, Birendra Kumar. / Automatic Detection of Common Carotid Artery in Transverse Mode Ultrasound Images. 2017 14th IEEE India Council International Conference, INDICON 2017. Institute of Electrical and Electronics Engineers Inc., 2018.
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Kumar, JRH & Singh, BK 2018, Automatic Detection of Common Carotid Artery in Transverse Mode Ultrasound Images. in 2017 14th IEEE India Council International Conference, INDICON 2017., 8487477, Institute of Electrical and Electronics Engineers Inc., 14th IEEE India Council International Conference, INDICON 2017, Roorkee, India, 15-12-17. https://doi.org/10.1109/INDICON.2017.8487477

Automatic Detection of Common Carotid Artery in Transverse Mode Ultrasound Images. / Kumar, J. R.Harish; Singh, Birendra Kumar.

2017 14th IEEE India Council International Conference, INDICON 2017. Institute of Electrical and Electronics Engineers Inc., 2018. 8487477.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kumar JRH, Singh BK. Automatic Detection of Common Carotid Artery in Transverse Mode Ultrasound Images. In 2017 14th IEEE India Council International Conference, INDICON 2017. Institute of Electrical and Electronics Engineers Inc. 2018. 8487477 https://doi.org/10.1109/INDICON.2017.8487477