High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging

no code implementations • 31 Oct 2023 • Yinzhe Wu, Jiahao Huang, Fanwen Wang, Pedro Ferreira, Andrew Scott, Sonia Nielles-Vallespin, Guang Yang

This study proposed a novel framework to enable volumetric super-resolution, with an additional model input of high-resolution b0 DWI.

Super-Resolution

Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction

no code implementations • 21 Jun 2022 • Michael Tanzer, Pedro Ferreira, Andrew Scott, Zohya Khalique, Maria Dwornik, Dudley Pennell, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin

Diffusion Tensor Cardiac Magnetic Resonance (DT-CMR) enables us to probe the microstructural arrangement of cardiomyocytes within the myocardium in vivo and non-invasively, which no other imaging modality allows.

Ensemble Learning

Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI

no code implementations • 30 May 2018 • Jo Schlemper, Guang Yang, Pedro Ferreira, Andrew Scott, Laura-Ann McGill, Zohya Khalique, Margarita Gorodezky, Malte Roehl, Jennifer Keegan, Dudley Pennell, David Firmin, Daniel Rueckert

To the best of our knowledge, this is the first study using deep CNN based CS for the DT-CMR reconstruction.

Compressive Sensing