NDLI: CARES 3.0: A two stage system combining feature-based recognition and edge-based segmentation for CIMT measurement on a multi-institutional ultrasound database of 300 images

Content Provider	IEEE Xplore Digital Library
Author	Molinari, F. Meiburger, K.M. Acharya, U.R. Zeng, G. Rodrigues, P.S. Saba, L. Nicolaides, A. Suri, J.S.
Copyright Year	2011
Description	Author affiliation: Dept. of Radiology, A.U.O. Cagliari, Italy (Saba, L.) \|\| Vascular Screening Diagnostic Center, Nicosia, Cyprus (Nicolaides, A.) \|\| Department of Computer Science, Centro Universitãrio da FEI, São Paulo, Brazil (Rodrigues, P.S.) \|\| CTO of Global Biomedical Technologies, Inc., Roseville, CA, USA (Suri, J.S.) \|\| BioLab, Department of Electronics, Politecnico di Torino, Torino, Italy (Molinari, F.; Meiburger, K.M.) \|\| Mayo Clinic, Rochester, MN, USA (Zeng, G.) \|\| Dept ECE, Ngee Ann Polytechnic, Singapore (Acharya, U.R.)
Abstract	The intima-media thickness of the carotid artery (CIMT) is a validated marker of atherosclerosis. Accurate CIMT measurement can be performed by specifically designed computer algorithms. We improved a previous CIMT measurement technique by introducing a smart heuristic search for the lumen-intima (LI) and media-adventitia (MA) interfaces of the carotid distal wall. We called this new release as CARES 3.0 (a class of AtheroEdge™ system, a patented technology from Global Biomedical Technologies, Inc., CA, USA). CARES 3.0 is completely automated and adopts an integrated approach for carotid location in the image frame, followed by segmentation based on edge snapper and heuristic search. CARES 3.0 was benchmarked against three other techniques on a 300 image multi-institutional database. One of the techniques was user-driven. The CARES 3.0 CIMT measurement bias was −0.021±0.182 mm, which was better than that of the semi automated method (−0.036±0.183 mm). CARES 3.0 outperformed the other two fully automated methods. The Figure-of-Merit of CARES 3.0 was 97.4%, better than that of the semi-automated technique (95.4%).
Starting Page	5149
Ending Page	5152
File Size	840277
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Biomedical measurements Ultrasonic variables measurement Ultrasonic imaging Image edge detection Databases Benchmark testing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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