Generalized super-resolution 4D Flow MRI $\unicode{x2013}$ using ensemble learning to extend across the cardiovascular system

1 code implementation • 20 Nov 2023 • Leon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar, Edward Ferdian, Mia Bonini, Brandon Hardy, Jonas Schollenberger, Maria Aristova, Patrick Winter, Nicholas Burris, Alexander Fyrdahl, Andreas Sigfridsson, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young, David Marlevi

4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique capable of quantifying blood flow across the cardiovascular system.

Ensemble Learning Super-Resolution

MicroBundleCompute: Automated segmentation, tracking, and analysis of subdomain deformation in cardiac microbundles

1 code implementation • 8 Aug 2023 • Hiba Kobeissi, Javiera Jilberto, M. Çağatay Karakan, Xining Gao, Samuel J. DePalma, Shoshana L. Das, Lani Quach, Jonathan Urquia, Brendon M. Baker, Christopher S. Chen, David Nordsletten, Emma Lejeune

With this manuscript, we disseminate "MicroBundleCompute" as an open-source computational tool with the aim of making automated quantitative analysis of beating cardiac microbundles more accessible to the community.

Drug Discovery

A Data-Driven Computational Model for Engineered Cardiac Microtissues

no code implementations • 31 May 2023 • Javiera Jilberto, Samuel J. DePalma, Jason Lo, Hiba Kobeissi, Lani Quach, Emma Lejeune, Brendon M. Baker, David Nordsletten

We use this experimental and modeling pipeline to study different mechanical environments, where we contrast the force output of the tissue with the computed active stress of CMs.

Estimation of Cardiac Valve Annuli Motion with Deep Learning

no code implementations • 23 Oct 2020 • Eric Kerfoot, Carlos Escudero King, Tefvik Ismail, David Nordsletten, Renee Miller

This study used manual annotations of valve landmarks in standard 2-, 3- and 4-chamber long-axis images collected in clinical scans to train the network.