The proliferation of four-dimensional imaging technologies, increasing computational
speeds, improved simulation algorithms, and the widespread availability of powerful …

Cardiac motion estimation and segmentation play important roles in quantitatively assessing
cardiac function and diagnosing cardiovascular diseases. In this paper, we propose a novel …

3D motion estimation from cine cardiac magnetic resonance (CMR) images is important for
the assessment of cardiac function and the diagnosis of cardiovascular diseases. Current …

Motion estimation of cardiac MRI videos is crucial for the evaluation of human heart anatomy
and function. Recent researches show promising results with deep learning-based methods …

This paper presents a method for biventricular myocardial deformation recovery from cine
MRI. The method is based on a deformable model that is nearly incompressible, a desirable …

Cardiac motion estimation plays a key role in MRI cardiac feature tracking and function
assessment such as myocardium strain. In this paper, we propose Motion Pyramid …

Myocardial motion and deformation are rich descriptors that characterize cardiac function.
Image registration, as the most commonly used technique for myocardial motion tracking, is …

Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR)
imaging enables the assessment of regional myocardial function and is important for …

PDE-constrained optimization problems find many applications in medical image analysis,
for example, neuroimaging, cardiovascular imaging, and oncologic imaging. We review the …

This paper presents a method for 3-D deformation recovery of the left ventricular (LV) wall
from anatomical cine magnetic resonance imaging (MRI). The method is based on a …