Objectives: Spatial-temporal MR image sequences of the heart contain information about
shape and motion changes and pathological structures after myocardial infarction. In this …

Spatial-temporal MR image sequences of the heart contain information about shape and
motion changes and pathological structures after myocardial infarction. In this paper a …

Automated extraction of quantitative parameters from cardiac magnetic resonance images is
crucial for the management of patients with myocardial infarct. This paper proposes a …

Objectives: To implement and evaluate the accuracy of unsupervised fully automated inline
analysis of global ventricular function and myocardial mass (MM). To compare automated …

Objectives: Segmentation of the left ventricle (LV) is required to quantify LV remodeling after
myocardial infarction. Therefore spatiotemporal cine MR sequences including long-axis and …

Objectives: Left ventricle (LV) segmentation is required to quantify LV volume and mass
parameters. Therefore, spatiotemporal Cine MR sequences in the short and long axis of the …

For estimating quantitative regional myocardial surface deformation and volume changes
from Cine-3D Cardiac MR images, a fast and accurate segmentation method is needed as …

In this paper, we describe a database of cine-MR (3D+ t) images of the left ventricle. This
database contains the voxel data, one automated and two manual segmentations for each …

In this study, a combination of active shape model (ASM) and active appearance model
(AAM) was used to segment the left and right ventricles of normal and Tetralogy of Fallot …

Quantitative evaluation of diseased myocardium in cardiac magnetic resonance imaging
(MRI) plays an important role in the diagnosis and prognosis of cardiovascular disease. The …