Three-dimensional speckle-tracking echocardiography: benefits and limitations of integrating myocardial mechanics with three-dimensional imaging

D Muraru, A Niero, H Rodriguez-Zanella… - Cardiovascular …, 2018 - pmc.ncbi.nlm.nih.gov
Three-dimensional (3D) speckle-tracking echocardiography (3DSTE) is an advanced
imaging technique designed for left ventricular (LV) myocardial deformation analysis based …

Current state of three-dimensional myocardial strain estimation using echocardiography

R Jasaityte, B Heyde, J D'hooge - Journal of the American Society of …, 2013 - Elsevier
With the developments in ultrasound transducer technology and both hardware and
software computing, real-time volumetric imaging has become widely available …

Joint learning of motion estimation and segmentation for cardiac MR image sequences

C Qin, W Bai, J Schlemper, SE Petersen… - … Image Computing and …, 2018 - Springer
Cardiac motion estimation and segmentation play important roles in quantitatively assessing
cardiac function and diagnosing cardiovascular diseases. In this paper, we propose a novel …

Finite element analysis of additive manufacturing based on fused deposition modeling: Distortions prediction and comparison with experimental data

A Cattenone, S Morganti… - Journal of …, 2019 - asmedigitalcollection.asme.org
Additive manufacturing (or three-dimensional (3D) printing) is constantly growing as an
innovative process for the production of complex-shape components. Among the seven …

Explicit B-spline regularization in diffeomorphic image registration

NJ Tustison, BB Avants - Frontiers in neuroinformatics, 2013 - frontiersin.org
Diffeomorphic map**s are central to image registration due largely to their topological
properties and success in providing biologically plausible solutions to deformation and …

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database

C Tobon-Gomez, M De Craene, K Mcleod, L Tautz… - Medical image …, 2013 - Elsevier
In this paper we present a benchmarking framework for the validation of cardiac motion
analysis algorithms. The reported methods are the response to an open challenge that was …

A survey of shaped-based registration and segmentation techniques for cardiac images

V Tavakoli, AA Amini - Computer Vision and Image Understanding, 2013 - Elsevier
Heart disease is the leading cause of death in the modern world. Cardiac imaging is
routinely applied for assessment and diagnosis of cardiac diseases. Computerized image …

DeepMesh: mesh-based cardiac motion tracking using deep learning

Q Meng, W Bai, DP O'Regan… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
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 …

Foal: Fast online adaptive learning for cardiac motion estimation

H Yu, S Sun, H Yu, X Chen, H Shi… - Proceedings of the …, 2020 - openaccess.thecvf.com
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 …

Unbiased construction of a temporally consistent morphological atlas of neonatal brain development

A Schuh, A Makropoulos, EC Robinson… - BioRxiv, 2018 - biorxiv.org
Premature birth increases the risk of develo** neurocognitive and neurobe-havioural
disorders. The mechanisms of altered brain development causing these disorders are yet …