Recent advances in fibrosis and scar segmentation from cardiac MRI: a state-of-the-art review and future perspectives

Y Wu, Z Tang, B Li, D Firmin, G Yang - Frontiers in Physiology, 2021 - frontiersin.org
Segmentation of cardiac fibrosis and scars is essential for clinical diagnosis and can provide
invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement …

Quantification in cardiac MRI

RJ van der Geest, JHC Reiber - Journal of Magnetic …, 1999 - Wiley Online Library
Magnetic resonance imaging (MRI) offers several acquisition techniques for precise and
highly reproducible assessment of global and regional ventricular function, flow, and …

[图书][B] Visual computing for medicine: theory, algorithms, and applications

B Preim, CP Botha - 2013 - books.google.com
Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …

Statistical analysis of noise in MRI

S Aja-Fernández, G Vegas-Sánchez-Ferrero - Switzerland: Springer …, 2016 - Springer
This work is the result of more than 10 years of research in the area of MRI from a signal and
noise perspective. Our interest has always been to properly model the noise that affects our …

[HTML][HTML] Evaluation of current algorithms for segmentation of scar tissue from late gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an …

R Karim, RJ Housden, M Balasubramaniam… - Journal of …, 2013 - Elsevier
Abstract Background Late Gadolinium enhancement (LGE) cardiovascular magnetic
resonance (CMR) imaging can be used to visualise regions of fibrosis and scarring in the left …

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge

A Lalande, Z Chen, T Pommier, T Decourselle… - Medical Image …, 2022 - Elsevier
A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure
whether the myocardium segment is viable after reperfusion or revascularization therapy …

Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images

S Moccia, R Banali, C Martini, G Muscogiuri… - … Resonance Materials in …, 2019 - Springer
Objective The aim of this paper is to investigate the use of fully convolutional neural
networks (FCNNs) to segment scar tissue in the left ventricle from cardiac magnetic …

[HTML][HTML] Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images

R Karim, P Bhagirath, P Claus, RJ Housden… - Medical image …, 2016 - Elsevier
Studies have demonstrated the feasibility of late Gadolinium enhancement (LGE)
cardiovascular magnetic resonance (CMR) imaging for guiding the management of patients …

Quantification in cardiac MRI: advances in image acquisition and processing

AK Attili, A Schuster, E Nagel, JHC Reiber… - The international journal …, 2010 - Springer
Cardiac magnetic resonance (CMR) imaging enables accurate and reproducible
quantification of measurements of global and regional ventricular function, blood flow …

A new automatic algorithm for quantification of myocardial infarction imaged by late gadolinium enhancement cardiovascular magnetic resonance: experimental …

H Engblom, J Tufvesson, R Jablonowski… - Journal of …, 2016 - Springer
Background Late gadolinium enhancement (LGE) cardiovascular magnetic resonance
(CMR) using magnitude inversion recovery (IR) or phase sensitive inversion recovery (PSIR) …