Jennifer Keegan

TL;DR: The aim of this work is to combine respiratory biofeedback with mCLAWS in order to regularise the breathing pattern and to exploit the ability of the technique to generate end-expiratory and end-inspiratory images from a single acquisition.

TL;DR: In this article, a 3D-UNet backbone architecture with embedded multichannel attention mechanism and LSTM based recurrent neural networks (RNN) was proposed for the MVM-CMR dataset.

TL;DR: While replacement fibrosis was a likely mechanism of progression to heart failure, LAVi as a more global measure of ventricular dysfunction was the strongest prognostic marker in HCM.

TL;DR: This phase II mechanistic study is primarily investigating the effect of RD on patient symptoms, cardio-pulmonary exercise function, B-type natriuretic peptide levels, left ventricular filling pressures,left ventricular mass and left atrial volume, and macrovascular function using aorta imaging to calculate aortA distensibility, pulse wave velocity and aortic flow.

TL;DR: A dynamic inversion recovery (dynamic-TI) 3D LGE sequence which minimises variations in the longitudinal magnetisation of myocardium throughout the acquisition is developed and performed to assess its efficacy in 17 patients in persistent AF.