Regional multi-view learning for cardiac motion analysis: Application to identification of dilated cardiomyopathy patients

E Puyol-Antón, B Ruijsink, B Gerber… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Objective: The aim of this paper is to describe an automated diagnostic pipeline that uses as
input only ultrasound (US) data, but is at the same time informed by a training database of …

[HTML][HTML] A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data

E Puyol-Anton, M Sinclair, B Gerber… - Medical image …, 2017 - Elsevier
Cardiac motion atlases provide a space of reference in which the motions of a cohort of
subjects can be directly compared. Motion atlases can be used to learn descriptors that are …

Regional multiscale motion representation for cardiac disease prediction

A Moreno, J Rodriguez… - 2019 XXII Symposium on …, 2019 - ieeexplore.ieee.org
Heart characterization is a challenging task due to the non-linear dynamic performance and
the strong shape deformation during the cardiac cycle. This work presents a regional …

[HTML][HTML] Machine learning approaches for myocardial motion and deformation analysis

N Duchateau, AP King, M De Craene - Frontiers in cardiovascular …, 2020 - frontiersin.org
Information about myocardial motion and deformation is key to differentiate normal and
abnormal conditions. With the advent of approaches relying on data rather than pre …

A Multimodal Database for the 1 st Cardiac Motion Analysis Challenge

C Tobon-Gomez, M De Craene, A Dahl… - Statistical Atlases and …, 2012 - Springer
This paper describes the acquisition of the multimodal database used in the 1 st Cardiac
Motion Analysis Challenge. The database includes magnetic resonance (MR) and 3D …

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 …

[HTML][HTML] A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: application to cardiac resynchronisation therapy …

D Peressutti, M Sinclair, W Bai, T Jackson… - Medical image …, 2017 - Elsevier
We present a framework for combining a cardiac motion atlas with non-motion data. The
atlas represents cardiac cycle motion across a number of subjects in a common space …

[HTML][HTML] Morphologically normalized left ventricular motion indicators from MRI feature tracking characterize myocardial infarction

P Piras, L Teresi, PE Puddu, C Torromeo, AA Young… - Scientific reports, 2017 - nature.com
We characterized motion attributes arising from LV spatio-temporal analysis of motion
distributions in myocardial infarction. Time-varying 3D finite element shape models were …

Automated myocardial wall motion classification using handcrafted features vs a deep cnn-based mapping

HA Omar, A Patra, JS Domingos… - 2018 40th Annual …, 2018 - ieeexplore.ieee.org
Compared to other modalities such as computed tomography or magnetic resonance
imaging, the appearance of ultrasound images is highly dependent on the expertise of the …

MulViMotion: Shape-aware 3D myocardial motion tracking from multi-view cardiac MRI

Q Meng, C Qin, W Bai, T Liu… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …