Literature DB >> 28216111

Anatomical Regurgitant Orifice Detection and Quantification from 3-D Echocardiographic Images.

Miguel Sotaquirá1, Mauro Pepi2, Gloria Tamborini2, Enrico G Caiani3.   

Abstract

The vena contracta and effective regurgitant orifice area (EROA) are currently used for the clinical assessment of mitral regurgitation (MR) from 2-D color Doppler imaging. In addition to being highly user dependent and having low repeatability, these methods do not represent accurately the anatomic regurgitant orifice (ARO), which affects the adequate assessment of MR patients. We propose a novel method for semi-automatic detection and quantitative assessment of the 3-D ARO shape from 3-D transesophageal echocardiographic images. The algorithm was tested on a set of 25 patients with MR, and compared with EROA for validation. Results indicate the robustness of the proposed approach, with low variability in relation to different settings of user-defined segmentation parameters. Although EROA and ARO exhibited a good correlation (r = 0.8), relatively large biases were measured, indicating that EROA probably underestimates the real shape and size of the regurgitant orifice. Along with the higher reproducibility of the proposed approach, this highlights the limitations of current clinical approaches and underlines the importance of accurate assessment of the ARO shape for diagnosis and treatment in MR patients.
Copyright © 2017 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anatomical regurgitant orifice; Max-flow; Min-cut; Mitral regurgitation; Region competition; Three-dimensional echocardiography

Mesh:

Year:  2017        PMID: 28216111     DOI: 10.1016/j.ultrasmedbio.2016.12.017

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  1 in total

1.  3D localization of vena contracta using Doppler ICE imaging in tricuspid valve interventions.

Authors:  Hareem Nisar; Djalal Fakim; Daniel Bainbridge; Elvis C S Chen; Terry Peters
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-05-19       Impact factor: 3.421

  1 in total

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