Nearly-automated quantification of mitral annulus and leafet morphology from transesophageal real-time 3D echocardiography

Miguel Sotaquira, Laura Fusini, Roberto M. Lang, Enrico G. Caiani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The ability to extract and quantify three-dimensional (3D) morphological parameters of the mitral valve (MV) apparatus from transesophageal 3D echocardiographic (T3DE) imaging constitutes a valuable tool in diagnosis, treatment and follow-up of patients with MV disease. Mitral annulus (MA) and leaflets (ML) quantification is still challenging, and commonly based on intensive user interaction that limits its applicability. We proposed a fast and accurate model-free, nearly-automated method for segmenting and extracting MA and ML morphological parameters, requiring a set of only 8 user-defined points. The algorithm accuracy was tested on 12 patients compared to 'gold standard' manual analysis, resulting in narrow limits of agreement, and good inter- and intra-observer variability, except for MA height computation. The proposed technique appears promising for clinical application.

Original languageEnglish
Title of host publicationComputing in Cardiology
Pages145-148
Number of pages4
Volume39
Publication statusPublished - 2012
Event39th Computing in Cardiology Conference, CinC 2012 - Krakow, Poland
Duration: Sep 9 2012Sep 12 2012

Other

Other39th Computing in Cardiology Conference, CinC 2012
CountryPoland
CityKrakow
Period9/9/129/12/12

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Computer Science(all)

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