Document Detail

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.
MedLine Citation:
PMID:  21947523     Owner:  NLM     Status:  Publisher    
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.
F Molinari; C Pattichis; G Zeng; L Saba; U Acharya; R Sanfilippo; A Nicolaides; J Suri
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-9-23
Journal Detail:
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:
Created Date:  2011-9-27     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9886191     Medline TA:  IEEE Trans Image Process     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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