IEEE Trans Image Process - Completely automated multiresolution edge snapper--a new technique for an accurate carotid ultrasound IMT measurement: clinical validation and benchmarking on a multi-institutional database.

Tópicos

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Resumo

The aim of this paper is to describe a novel and completely automated technique for carotid artery (CA) recognition, far (distal) wall segmentation, and intima-media thickness (IMT) measurement, which is a strong clinical tool for risk assessment for cardiovascular diseases. The architecture of completely automated multiresolution edge snapper (CAMES) consists of the following two stages: 1) automated CA recognition based on a combination of scale-space and statistical classification in a multiresolution framework and 2) automated segmentation of lumen-intima (LI) and media-adventitia (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 (GT) database was the average manual segmentation from three clinical experts. The mean distance ? standard deviation of CAMES with respect to GT profiles for LI and MA interfaces were 0.081 ? 0.099 and 0.082 ? 0.197 mm, respectively. The IMT measurement error between CAMES and GT 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). Although 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 by 36% against CALEX. Finally, this paper demonstrated that the figure-of-merit of CAMES was 95.8% compared with 87.4% for CALEX. The combination of multiresolution CA 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 data set demonstrated the robustness of the technique, which can constitute a clinically valid IMT measurement for assistance in atherosclerosis disease management.

Resumo Limpo

aim paper describ novel complet autom techniqu carotid arteri ca recognit far distal wall segment intimamedia thick imt measur strong clinic tool risk assess cardiovascular diseas architectur complet autom multiresolut edg snapper came consist follow two stage autom ca recognit base combin scalespac statist classif multiresolut framework autom segment lumenintima li mediaadventitia ma interfac far distal wall imt measur databas bmode longitudin carotid imag taken four differ institut cover differ ethnic background groundtruth gt databas averag manual segment three clinic expert mean distanc standard deviat came respect gt profil li ma interfac mm respect imt measur error came gt mm came benchmark previous develop autom techniqu base integr approach use featurebas extract classifi calex although came underestim imt valu shown strong improv segment error calex li ma interfac respect overal imt measur bias came improv calex final paper demonstr figureofmerit came compar calex combin multiresolut ca recognit farwal segment led autom lowcomplex realtim accur techniqu carotid imt measur valid multiethnicmultiinstitut data set demonstr robust techniqu can constitut clinic valid imt measur assist atherosclerosi diseas manag

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