Gao, H. , Kadir, K., Payne, A. R., Soraghan, J. and Berry, C. (2013) Highly automatic quantification of myocardial oedema in patients with acute myocardial infarction using bright blood T2-weighted CMR. Journal of Cardiovascular Magnetic Resonance, 15(28), (doi: 10.1186/1532-429X-15-28)
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Publisher's URL: http://dx.doi.org/10.1186/1532-429X-15-28
Abstract
<p>Background: T2-weighted cardiovascular magnetic resonance (CMR) is clinically-useful for imaging the ischemic area-at-risk and amount of salvageable myocardium in patients with acute myocardial infarction (MI). However, to date, quantification of oedema is user-defined and potentially subjective.</p> <p>Methods: We describe a highly automatic framework for quantifying myocardial oedema from bright blood T2-weighted CMR in patients with acute MI. Our approach retains user input (i.e. clinical judgment) to confirm the presence of oedema on an image which is then subjected to an automatic analysis. The new method was tested on 25 consecutive acute MI patients who had a CMR within 48 hours of hospital admission. Left ventricular wall boundaries were delineated automatically by variational level set methods followed by automatic detection of myocardial oedema by fitting a Rayleigh-Gaussian mixture statistical model. These data were compared with results from manual segmentation of the left ventricular wall and oedema, the current standard approach.</p> <p>Results: The mean perpendicular distances between automatically detected left ventricular boundaries and corresponding manual delineated boundaries were in the range of 1-2 mm. Dice similarity coefficients for agreement (0=no agreement, 1=perfect agreement) between manual delineation and automatic segmentation of the left ventricular wall boundaries and oedema regions were 0.86 and 0.74, respectively.</p>
| Item Type: | Articles |
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| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Soraghan, Professor John and Gao, Dr Hao and Berry, Professor Colin and Payne, Dr Alexander |
| Authors: | Gao, H., Kadir, K., Payne, A. R., Soraghan, J., and Berry, C. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| College/School: | College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health College of Science and Engineering > School of Engineering College of Science and Engineering > School of Mathematics and Statistics > Mathematics |
| Journal Name: | Journal of Cardiovascular Magnetic Resonance |
| Publisher: | BioMed Central |
| ISSN: | 1097-6647 |
| ISSN (Online): | 1532-429X |
| Published Online: | 30 March 2013 |
| Copyright Holders: | Copyright © 2013 The Authors |
| First Published: | First published in Journal of Cardiovascular Magnetic Resonance 15:28 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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