A review of segmentation methods in short axis cardiac MR images

C Petitjean, JN Dacher - Medical image analysis, 2011 - Elsevier
For the last 15 years, Magnetic Resonance Imaging (MRI) has become a reference
examination for cardiac morphology, function and perfusion in humans. Yet, due to the …

Compound loss of muscleblind‐like function in myotonic dystrophy

KY Lee, M Li, M Manchanda, R Batra… - EMBO molecular …, 2013 - embopress.org
Myotonic dystrophy (DM) is a multi‐systemic disease that impacts cardiac and skeletal
muscle as well as the central nervous system (CNS). DM is unusual because it is an RNA …

Extracellular volume fraction in dilated cardiomyopathy patients without obvious late gadolinium enhancement: comparison with healthy control subjects

YJ Hong, CH Park, YJ Kim, J Hur, HJ Lee… - … International Journal of …, 2015 - Springer
To evaluate whether the extracellular volume fraction (ECV) measured using cardiac
magnetic resonance (CMR) imaging can detect myocardial tissue changes in dilated …

An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images

Y Ma, L Wang, Y Ma, M Dong, S Du, X Sun - International Journal of …, 2016 - Springer
Purpose Accurate segmentation of left ventricle (LV) is essential for the cardiac function
analysis. However, it is labor intensive and time consuming for radiologists to delineate LV …

Efficient and phase-aware video super-resolution for cardiac MRI

JY Lin, YC Chang, WH Hsu - … Conference, Lima, Peru, October 4–8, 2020 …, 2020 - Springer
Abstract Cardiac Magnetic Resonance Imaging (CMR) is widely used since it can illustrate
the structure and function of the heart in a non-invasive and painless way. However, it is time …

Nonsupervised ranking of different segmentation approaches: application to the estimation of the left ventricular ejection fraction from cardiac cine MRI sequences

J Lebenberg, I Buvat, A Lalande… - … on Medical Imaging, 2012 - ieeexplore.ieee.org
A statistical methodology is proposed to rank several estimation methods of a relevant
clinical parameter when no gold standard is available. Based on a regression without truth …

Convolutional Neural Network for the Detection of End‐Diastole and End‐Systole Frames in Free‐Breathing Cardiac Magnetic Resonance Imaging

F Yang, Y He, M Hussain, H Xie… - … mathematical methods in …, 2017 - Wiley Online Library
Free‐breathing cardiac magnetic resonance (CMR) imaging has short examination time with
high reproducibility. Detection of the end‐diastole and the end‐systole frames of the free …

Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images

M Bernier, PM Jodoin, O Humbert, A Lalande - … Medical Imaging and …, 2017 - Elsevier
In this paper, we present a fast and interactive graph cut method for 3D segmentation of the
endocardial wall of the left ventricle (LV) adapted to work on two of the most widely used …

Improved estimation of cardiac function parameters using a combination of independent automated segmentation results in cardiovascular magnetic resonance …

J Lebenberg, A Lalande, P Clarysse, I Buvat, C Casta… - PLoS …, 2015 - journals.plos.org
This work aimed at combining different segmentation approaches to produce a robust and
accurate segmentation result. Three to five segmentation results of the left ventricle were …

Evaluation of cardiac structure segmentation in cine magnetic resonance imaging

A Lalande, M Garreau, F Frouin - Multi‐Modality Cardiac …, 2015 - Wiley Online Library
This chapter discusses the evaluation of the segmentation of the heart from images obtained
from magnetic resonance imaging (MRI). It focuses on works achieved with cine MRI‐based …