Literature DB >> 26736674

Automatic mitral annulus tracking in volumetric ultrasound using non-rigid image registration.

Henri De Veene, Philippe B Bertrand, Natasa Popovic, Pieter M Vandervoort, Piet Claus, Matthieu De Beule, Brecht Heyde.   

Abstract

Analysis of mitral annular dynamics plays an important role in the diagnosis and selection of optimal valve repair strategies, but remains cumbersome and time-consuming if performed manually. In this paper we propose non-rigid image registration to automatically track the annulus in 3D ultrasound images for both normal and pathological valves, and compare the performance against manual tracing. Relevant clinical properties such as annular area, circumference and excursion could be extracted reliably by the tracking algorithm. The root-mean-square error, calculated as the difference between the manually traced landmarks (18 in total) and the automatic tracking, was 1.96 ± 0.46 mm over 10 valves (5 healthy and 5 diseased) which is within the clinically acceptable error range.

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Year:  2015        PMID: 26736674     DOI: 10.1109/EMBC.2015.7318774

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Combining position-based dynamics and gradient vector flow for 4D mitral valve segmentation in TEE sequences.

Authors:  Lennart Tautz; Lars Walczak; Joachim Georgii; Amer Jazaerli; Katharina Vellguth; Isaac Wamala; Simon Sündermann; Volkmar Falk; Anja Hennemuth
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-10-09       Impact factor: 2.924

  1 in total

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