6 papers
EchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion
Md Abulkalam Azad, Vegard Holmstrøm, John Nyberg +4
Myocardial point tracking (MPT) has recently emerged as a promising direction for motion estimation in echocardiography, driven by advances in general-purpose point tracking method…
Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion
Md Abulkalam Azad, John Nyberg, Håvard Dalen +3
Accurate motion estimation for tracking deformable tissues in echocardiography is essential for precise cardiac function measurements. While traditional methods like block matching…
Low Complexity Point Tracking of the Myocardium in 2D Echocardiography
Artem Chernyshov, John Nyberg, Vegard Holmstrøm +6
Deep learning methods for point tracking are applicable in 2D echocardiography, but do not yet take advantage of domain specifics that enable extremely fast and efficient configura…
Regional quality estimation for echocardiography using deep learning
Gilles Van De Vyver, Svein-Erik Måsøy, Håvard Dalen +7
Automatic estimation of cardiac ultrasound image quality can be beneficial for guiding operators and ensuring the accuracy of clinical measurements. Previous work often fails to di…
EchoTracker: Advancing Myocardial Point Tracking in Echocardiography
Md Abulkalam Azad, Artem Chernyshov, John Nyberg +5
Tissue tracking in echocardiography is challenging due to the complex cardiac motion and the inherent nature of ultrasound acquisitions. Although optical flow methods are considere…
Cardiac valve event timing in echocardiography using deep learning and triplane recordings
Benjamin Strandli Fermann, John Nyberg, Espen W. Remme +9
Cardiac valve event timing plays a crucial role when conducting clinical measurements using echocardiography. However, established automated approaches are limited by the need of e…