| Completely Automated Multi-resolution Edge Snapper (CAMES) ¿ A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on a Multi-Institutional Database. | |
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MedLine Citation:
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PMID: 21947523 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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The aim of this paper is the description of a novel and completely automated technique for carotid artery recognition, far (distal) wall segmentation, and intima-media thickness (IMT) measurement, a strong clinical tool for risk assessment for cardiovascular diseases. The architecture of Completely Automated Multi-resolution Edge Snapper (CAMES) consists of two stages: (a) automated carotid artery recognition based on a combination of scale-space and statistical classification in multi-resolution framework; and (b) automated segmentation of lumen-intima (LI) and mediaadventitia (MA) interfaces for the far (distal) wall and IMT measurement. Our database of 365 B-Mode longitudinal carotid images is taken from four different institutions covering different ethnic backgrounds. The ground-truth database was the average manual segmentation from three clinical experts. The mean distance ± SD of CAMES w.r.t ground-truth profiles for the LI and MA interfaces were 0.081 ± 0.099 mm and 0.082 ± 0.197 mm respectively. The IMT measurement error between CAMES and ground truth was 0.078 ± 0.112 mm. CAMES was benchmarked against a previously developed automated technique based on an integrated approach using feature-based extraction and classifier (CALEX) [13]. Even though, CAMES underestimated the IMT value, it had shown a strong improvement in segmentation errors against CALEX for LI and MA interfaces by 8% and 42%, respectively. The overall IMT measurement bias for CAMES improved against CALEX by 36%. Finally, the paper demonstrated that the figure-of-merit of CAMES was 95.8% compared to 87.4% for CALEX. The combination of multiresolution carotid artery recognition and far wall segmentation led to an automated, low-complexity, real-time, and accurate technique for carotid IMT measurement. Validation on a multiethnic/ multi-institutional dataset demonstrated the robustness of the technique, which can constitute a clinically valid IMT measurement for assistance in atherosclerosis disease management. |
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Authors:
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F Molinari; C Pattichis; G Zeng; L Saba; U Acharya; R Sanfilippo; A Nicolaides; J Suri |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-9-23 |
Journal Detail:
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Title: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Volume: - ISSN: 1941-0042 ISO Abbreviation: - Publication Date: 2011 Sep |
Date Detail:
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Created Date: 2011-9-27 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9886191 Medline TA: IEEE Trans Image Process Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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