Myocardial strain analysis from cinematic magnetic resonance imaging (cine-MRI) data
provides a more thorough characterization of cardiac mechanics than volumetric parameters …

Subject motion is a long-standing problem of magnetic resonance imaging (MRI), which can
seriously deteriorate the image quality. Various prospective and retrospective methods have …

Background Strain analysis provides more thorough spatiotemporal signatures for
myocardial contraction, which is helpful for early detection of cardiac insufficiency. The use …

Image registration is a primary task in various medical image analysis applications.
However, cardiac image registration is difficult due to the large non-rigid deformation of the …

Estimating the shape and motion state of the myocardium is essential in diagnosing
cardiovascular diseases. However, cine magnetic resonance (CMR) imaging is dominated …

Background Myocardial feature tracking (FT) provides a comprehensive analysis of
myocardial deformation from cine balanced steady‐state free‐precession images (bSSFP) …

In cardiac cine magnetic resonance imaging (MRI), the heart is repeatedly imaged at
numerous time points during the cardiac cycle. Frequently, the temporal evolution of a …

Semantic segmentation using convolutional neural networks (CNNs) is the state-of-the-art
for many medical image segmentation tasks including myocardial segmentation in cardiac …

Cardiac segmentation from magnetic resonance imaging (MRI) is one of the essential tasks
in analyzing the anatomy and function of the heart for the assessment and diagnosis of …

Mesh reconstruction of the cardiac anatomy from medical images is useful for shape and
motion measurements and biophysics simulations to facilitate the assessment of cardiac …