Article

MR image analysis for the investigation of myocardial contractility

2019-01-01

Abstract excerpt

The aim of this work is to provide novel methods, tools and the theoretical background of an image analysis framework for the generation of consistent and detailed myocardial contractility maps, which have the potential to contribute to an early and accurate diagnosis and prognosis of cardiac disease. The image analysis framework is tailored to Tissue Velocity Mapping (TVM) images. 3D deformation measures from the...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: cbe7a9f2-d915-5fbc-9222-03f9c1af49d6
DOI: 10.25560/89497

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

MR image analysis for the investigation of myocardial contractilityDOI 10.25560/89497Read

Clinical validation of a fully automated framework for ventricular segmentation and wall motion classification from cine CMRSemantic proximity Read

Development of whole-heart myocardial perfusion magnetic resonance imagingSemantic proximity Read

CMR-derived myocardial strain analysis differentiates ischemic and dilated cardiomyopathy - A propensity score-matched studySemantic proximity Read

DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac MechanicsSemantic proximity Read

Unsupervised clustering of intra-ventricular haemodynamic forces for the phenotyping of left ventricular function in non-ischaemic left ventricular cardiomyopathy.Semantic proximity Read

Myocardial Tug-of-War Is a Determinant of Left Ventricular Function and FailureSemantic proximity Read

LVentiView: An Open-Source Software for Automated 3D Left Ventricular Mesh Reconstruction and Analysis from Cardiac MRISemantic proximity Read

Rotation and torsion of the left ventricle with cardiovascular magnetic resonance tagging: comparison of two analysis methodsSemantic proximity Read

Assessing the robustness of an artificial intelligence segmentation model for quantitative cardiovascular magnetic resonance imaging across cardiac phenotypes.Semantic proximity Read

Myofiber strain in healthy humans using DENSE and cDTISemantic proximity Read

A groupwise registration and tractography framework for cardiac myofiber architecture description by diffusion MRI: an application to the ventricular junctionsSemantic proximity Read

Left Ventricular Volume and Function Assessment Using a Reduced-Slice Approach in Cardiovascular Magnetic ResonanceSemantic proximity Read