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

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dc.contributor.authorMOLINARI, F.
dc.contributor.authorMELBURGER, K. M.
dc.contributor.authorACHARYA, U. R.
dc.contributor.authorZENG, G.
dc.contributor.authorPaulo Rodrigues
dc.contributor.authorSABA, L.
dc.contributor.authorNICOLAIDES, A.
dc.contributor.authorSURI, J. S.
dc.contributor.authorOrcidhttps://orcid.org/0000-0003-3258-0794
dc.date.accessioned2022-10-01T06:07:01Z
dc.date.available2022-10-01T06:07:01Z
dc.date.issued2011-08-30
dc.description.abstractThe 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%). © 2011 IEEE.
dc.description.firstpage5149
dc.description.lastpage5152
dc.identifier.citationMOLINARI, F.; MELBURGER, K. M.; ACHARYA, U. R.; ZENG, G.; RODRIGUES, P. S.; SABA, L.; NICOLAIDES, A.; SURI, J. S. 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. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, p. 5149-5152, Aug. 2011.
dc.identifier.doi10.1109/IEMBS.2011.6091275
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4602
dc.relation.ispartofProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
dc.rightsAcesso Restrito
dc.titleCARES 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
dc.typeArtigo de evento
fei.scopus.citations15
fei.scopus.eid2-s2.0-84055193424
fei.scopus.subjectAutomated methods
fei.scopus.subjectBiomedical technologies
fei.scopus.subjectCarotid artery
fei.scopus.subjectEdge-based
fei.scopus.subjectFeature-based
fei.scopus.subjectHeuristic search
fei.scopus.subjectImage frames
fei.scopus.subjectIntegrated approach
fei.scopus.subjectIntima-media thickness
fei.scopus.subjectMeasurement bias
fei.scopus.subjectMeasurement techniques
fei.scopus.subjectPatented technology
fei.scopus.subjectSemi-automated
fei.scopus.subjectTwo stage system
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84055193424&origin=inward
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