Literature DB >> 19964362

An automated quantification of the transmural myocardial infarct extent using cardiac DE-MR images.

R Berbari1, N Kachenoura, F Frouin, A Herment, E Mousseaux, I Bloch.   

Abstract

Evaluating myocardial viability is an important prognostic factor in the follow-up of infarctions. Delayed Enhancement magnetic resonance (DE-MR) imaging allows precise delineation of the infarct transmural extent. Visual interpretation is the most commonly used method to assess the myocardial infarction (MI) transmural extent. This study proposes to automate the segmentation of the (DE) images prior to the estimation of the extent of infarcted tissue. Indeed the segmentation of the myocardium was performed using cine contraction images which present a high contrast between cavity and myocardium. After the segmentation, the segmental transmurality is estimated on a conventional five point scale. A head to head comparison was performed between visual and quantitative analysis of infarct transmurality on DE-MR imaging. Results on 921 sub-segments (9 patients) showed an absolute agreement of 80% and a relative agreement (with one point difference) of 97%.

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Year:  2009        PMID: 19964362     DOI: 10.1109/IEMBS.2009.5333691

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


  8 in total

Review 1.  Myocardial Viability on Cardiac Magnetic Resonance.

Authors:  Ana Luiza Mansur Souto; Rafael Mansur Souto; Isabella Cristina Resende Teixeira; Marcelo Souto Nacif
Journal:  Arq Bras Cardiol       Date:  2017-05       Impact factor: 2.000

2.  Myocardium segmentation from DE MRI with guided random walks and sparse shape representation.

Authors:  Jie Liu; Xiahai Zhuang; Hongzhi Xie; Shuyang Zhang; Lixu Gu
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-07-07       Impact factor: 2.924

3.  Pre to Intraoperative Data Fusion Framework for Multimodal Characterization of Myocardial Scar Tissue.

Authors:  Antonio R Porras; Gemma Piella; Antonio Berruezo; Juan Fernández-Armenta; Alejandro F Frangi
Journal:  IEEE J Transl Eng Health Med       Date:  2014-09-04       Impact factor: 3.316

4.  Percent infarct mapping for delayed contrast enhancement magnetic resonance imaging to quantify myocardial viability by Gd(DTPA).

Authors:  Tamás Simor; Pál Surányi; Balázs Ruzsics; Attila Tóth; Levente Tóth; Pál Kiss; Brigitta C Brott; Akos Varga-Szemes; Ada Elgavish; Gabriel A Elgavish
Journal:  J Magn Reson Imaging       Date:  2010-10       Impact factor: 4.813

5.  Quantification of myocardial viability distribution with Gd(DTPA) bolus-enhanced, signal intensity-based percent infarct mapping.

Authors:  Robert Kirschner; Akos Varga-Szemes; Brigitta C Brott; Silvio Litovsky; Ada Elgavish; Gabriel A Elgavish; Tamas Simor
Journal:  Magn Reson Imaging       Date:  2011-05-05       Impact factor: 2.546

Review 6.  Post myocardial infarction of the left ventricle: the course ahead seen by cardiac MRI.

Authors:  Pier Giorgio Masci; Jan Bogaert
Journal:  Cardiovasc Diagn Ther       Date:  2012-06

Review 7.  Cardiac magnetic resonance imaging in ischemic heart disease: a clinical review.

Authors:  A Florian; R Jurcut; C Ginghina; J Bogaert
Journal:  J Med Life       Date:  2011-11-24

8.  Primary PCI versus pharmacoinvasive strategy for ST elevation myocardial infarction.

Authors:  Ayman M Helal; Sameh M Shaheen; Walid A Elhammady; Mohamed I Ahmed; Ahmed S Abdel-Hakim; Lamyaa E Allam
Journal:  Int J Cardiol Heart Vasc       Date:  2018-10-27
  8 in total

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