NDLI: An improved method for detection of carotid walls in ARTSENS

Content Provider	IEEE Xplore Digital Library
Author	Sahani, A.K. Shah, M. Joseph, J. Sivaprakasam, M.
Copyright Year	2014
Description	Author affiliation: Healthcare Technol. Innovation Centre, Indian Inst. of Technol. Madras, Chennai, India (Joseph, J.) \|\| Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India (Sahani, A.K.; Shah, M.; Sivaprakasam, M.)
Abstract	We have been developing a fully automated ultrasound based imageless system to facilitate mass screening of patients for future risk of cardiovascular diseases. The device shall enable a general medical practitioner to non-invasively measure the local arterial stiffness of common carotid artery (CCA) and has been acronymed ARTerial Stiffness Evaluation for Non-invasive Screening (ARTSENS™). Complete automation of the system requires providing assistance in placement of probe over the CCA location and automatic identification of approximate location of proximal wall (PW) and distal wall (DW) of the CCA. In this paper we propose a method based on temporal motion of PW and DW over successive A-Mode frames to locate the CCA. We evaluated the performance of the algorithm with data obtained from CCA of 30 subjects. It could correctly identify the CCA in more than 70 % of trials. We also propose a method for preprocessing the frames by using the transmitted pulse wavelet. This improved the detection rate significantly. False positives were always less than 6% of total detections.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	1957
Ending Page	1960
File Size	1074376
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6943996
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ultrasonic imaging Probes Transducers Heart rate Ultrasonic variables measurement Arteries Correlation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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