Semi-automatic Tool to Identify Heterogeneity Zones in LGE-CMR and Incorporate the Result into a 3D Model of the Left Ventricle
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-50516-5_21
Reference8 articles.
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2. Gho, J.M.I.H., et al.: A systematic comparison of cardiovascular magnetic resonance and high resolution histological fibrosis quantification in a chronic porcine infarct model. Int. J. Cardiovascular Imag. 33(11), 1797–1807 (2017). https://doi.org/10.1007/s10554-017-1187-y
3. Ghugre, N.R., et al.: Evolution of gray zone after acute myocardial infarction: influence of microvascular obstruction. J. Cardiovascular Magnetic Reson. 13(S1), 151 (2011). https://doi.org/10.1186/1532-429x-13-s1-p151
4. Lin, L.Y., et al.: Conductive channels identified with contrast-enhanced MR imaging predict ventricular tachycardia in systolic heart failure. JACC Cardiovascular Imag. 6(11), 1152–1159 (2013). https://doi.org/10.1016/j.jcmg.2013.05.017
5. Mikami, Y., et al.: Accuracy and reproducibility of semi-automated late gadolinium enhancement quantification techniques in patients with hypertrophic cardiomyopathy. J. Cardiovasc. Magn. Resonance 16(1), 85 (2014). https://doi.org/10.1186/s12968-014-0085-x
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