DocumentCode :
2491881
Title :
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
Author :
Molinari, Filippo ; Meiburger, Kristen M. ; Acharya, U. Rajendra ; Zeng, Guang ; Rodrigues, Paulo S. ; Saba, Luca ; Nicolaides, Andrew ; Suri, Jasjit S.
Author_Institution :
Dept. of Electron., Politec. di Torino, Torino, Italy
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
5149
Lastpage :
5152
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%).
Keywords :
biomedical ultrasonics; blood vessels; edge detection; image segmentation; medical disorders; medical image processing; spatial variables measurement; CARES 3.0; CIMT measurement; atherosclerosis marker; carotid artery intima-media thickness; carotid distal wall; computer algorithms; edge based segmentation; edge snapper; feature based recognition; lumen-intima interface heuristic search; media-adventitia interface heuristic search; multiinstitutional ultrasound database; two stage system; Benchmark testing; Biomedical measurements; Databases; Image edge detection; Image segmentation; Ultrasonic imaging; Ultrasonic variables measurement; Algorithms; Artificial Intelligence; Carotid Artery Diseases; Carotid Intima-Media Thickness; Cyprus; Databases, Factual; Image Enhancement; Image Interpretation, Computer-Assisted; Italy; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091275
Filename :
6091275
Link To Document :
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