Automated left ventricle segmentation in late gadolinium-enhanced MRI for objective myocardial scar assessment-Reference-Cited by-同舟云学术

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Automated left ventricle segmentation in late gadolinium-enhanced MRI for objective myocardial scar assessment

Published:2014-11-19 Issue:2 Volume:42 Page:390-399
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J. Magn. Reson. Imaging

Author:

Tao Qian¹,Piers Sebastiaan R.D.²,Lamb Hildo J.³,van der Geest Rob J.¹

Affiliation:

1. LKEB - Division of Image Processing; Department of Radiology; Leiden University Medical Center; Leiden The Netherlands

2. Department of Cardiology; Leiden University Medical Center; Leiden The Netherlands

3. Department of Radiology; Leiden University Medical Center; Leiden The Netherlands

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jmri.24804/fullpdf

Reference21 articles.

1. The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction;Kim;N Engl J Med,2000

2. Characterization of the peri-infarct zone by contrast-enhanced cardiac magnetic resonance imaging is a powerful predictor of post-myocardial infarction mortality;Yan;Circulation,2006

3. Quantitative myocardial infarction on delayed enhancement MRI. Part II: Clinical application of an automated feature analysis and combined thresholding infarct sizing algorithm;Hsu;J Magn Reson Imaging,2006

4. Automated segmentation of myocardial scar in late enhancement MRI using combined intensity and spatial information;Tao;Magn Reson Med,2010

5. Left ventricular measurements with cine and spin-echo MR imaging: a study of reproducibility with variance component analysis;Pattynama;Radiology,1993

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1. Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images;Medical & Biological Engineering & Computing;2024-08-06

2. Impact of late gadolinium enhancement image acquisition resolution on neural network based automatic scar segmentation;Journal of Cardiovascular Magnetic Resonance;2024

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4. Transformers-Based Neural Network for Cardiac Infarction Segmentation in Delayed-Enhancement MRI;2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA);2023-10-16

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