Literature DB >> 15746714

A semiautomated ultrasound border detection program that facilitates clinical measurement of ultrasound carotid intima-media thickness.

James H Stein1, Claudia E Korcarz, Maureen E Mays, Pamela S Douglas, Mari Palta, Hongling Zhang, Tamara Lecaire, Diane Paine, David Gustafson, Liexiang Fan.   

Abstract

We have developed a novel, semiautomated carotid intima-media thickness (CIMT) border detection program (AUTO) and evaluated its measurement reproducibility and accuracy. Images from 6 carotid segments were acquired in 50 subjects, for a total of 300 segments. Mean and maximum CIMT values were measured blindly at a reference (REF) lab and in duplicate by experienced (EXP) and novice (NOV) readers using manual (MAN) and AUTO methods. Coefficients of variation for AUTO measurements of mean (3.2%) and maximum (4.1%) CIMT were low, and the AUTO method improved the NOV reader's reproducibility. Compared with the REF lab, mean (0.012 +/- 0.006 mm) and maximum (0.144 +/- 0.006 mm) CIMT biases were small and equivalent to those of the REF lab ( P < .001). The AUTO method shortened reading times by 35% to 46% ( P < .001). We conclude that our novel AUTO CIMT measurement program improved reproducibility and was accurate. Compared with MAN tracing, the AUTO method agreed better with the REF lab and decreased reading time.

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Year:  2005        PMID: 15746714     DOI: 10.1016/j.echo.2004.12.002

Source DB:  PubMed          Journal:  J Am Soc Echocardiogr        ISSN: 0894-7317            Impact factor:   5.251


  20 in total

1.  Automatic segmentation of carotid B-mode images using fuzzy classification.

Authors:  Rui Rocha; Jorge Silva; Aurélio Campilho
Journal:  Med Biol Eng Comput       Date:  2012-03-14       Impact factor: 2.602

2.  Inter-greedy technique for fusion of different segmentation strategies leading to high-performance carotid IMT measurement in ultrasound images.

Authors:  Filippo Molinari; Guang Zeng; Jasjit S Suri
Journal:  J Med Syst       Date:  2010-05-08       Impact factor: 4.460

3.  Measurement of carotid intima-media thickness and carotid plaque detection for cardiovascular risk assessment.

Authors:  Heather M Johnson; James H Stein
Journal:  J Nucl Cardiol       Date:  2011-02       Impact factor: 5.952

4.  Snakes based segmentation of the common carotid artery intima media.

Authors:  C P Loizou; C S Pattichis; M Pantziaris; T Tyllis; A Nicolaides
Journal:  Med Biol Eng Comput       Date:  2007-01-03       Impact factor: 2.602

5.  Assessment of intima-media thickness of carotid arteries: evaluation of an automated computer software.

Authors:  Stefan Puchner; Markus Reiter; Christos Baros; Erich Minar; Johannes Lammer; Robert A Bucek
Journal:  Neuroradiology       Date:  2008-06-12       Impact factor: 2.804

6.  Completely automated robust edge snapper for carotid ultrasound IMT measurement on a multi-institutional database of 300 images.

Authors:  Filippo Molinari; U Rajendra Acharya; Guang Zeng; Kristen M Meiburger; Jasjit S Suri
Journal:  Med Biol Eng Comput       Date:  2011-04-21       Impact factor: 2.602

7.  Convolutional Neural Network for Segmentation and Measurement of Intima Media Thickness.

Authors:  Sudha S; Jayanthi K B; Rajasekaran C; Nirmala Madian; Sunder T
Journal:  J Med Syst       Date:  2018-07-09       Impact factor: 4.460

8.  The effects of sleep-disordered breathing on arterial stiffness are modulated by age.

Authors:  Claudia E Korcarz; Adam D Gepner; Paul E Peppard; Terry B Young; James H Stein
Journal:  Sleep       Date:  2010-08       Impact factor: 5.849

9.  Can ultrasonographic measurement of carotid intima-media thickness predict hypotension after induction of general anesthesia?

Authors:  Ayhan Kaydu; Dilek Duman Güven; Erhan Gökcek
Journal:  J Clin Monit Comput       Date:  2018-11-21       Impact factor: 2.502

10.  Automatic detection of the intima-media thickness in ultrasound images of the common carotid artery using neural networks.

Authors:  Rosa-María Menchón-Lara; María-Consuelo Bastida-Jumilla; Juan Morales-Sánchez; José-Luis Sancho-Gómez
Journal:  Med Biol Eng Comput       Date:  2013-11-27       Impact factor: 2.602

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