Meeting Banner
Abstract #1238

High-Resolution motion-corrected 2D Myocardial Perfusion MRI using Locally Low Rank and Wavelet Sparsity Constraints

Joao Tourais1,2, Torben Schneider3, Xenios Milidonis4, David Higgins5, Javier Sanchez-Gonzalez6, Gastao Cruz4, Claudia Prieto4, Chris Saunderson7, Louise Brown7, Sven Plein7, Amedeo Chiribiri4, Jouke Smink1, and Teresa Correia4

1Division MR Clinical Science, Philips, Best, Netherlands, 2Dept. of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 3Philips Health Systems, London, United Kingdom, 4School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 5Philips Healthcare, Guildford, United Kingdom, 6Philips Healthcare Iberia, Madrid, Spain, 7University of Leeds, Leeds, United Kingdom

First-pass perfusion cardiac MR (FPP-CMR) allows the assessment of ischemic heart disease. However, conventional FPP-CMR has limited spatial resolution and requires breath-holding. Moreover, diagnostic accuracy may be compromised due to dark-rim artifacts. Here, we propose a free-breathing quantitative high-resolution FPP-CMR framework that combines dynamically variable undersampling with a motion-corrected reconstruction approach that uses spatial and temporal constraints. The proposed motion-corrected strategy improves image sharpness and quantification of myocardial blood flow from free-breathing acquisitions. The highly undersampled acquisitions allow short acquisition windows and facilitate higher spatial resolution images, which are less sensitive to dark-rim artifacts, thus improving the diagnostic accuracy of FPP-CMR.

This abstract and the presentation materials are available to members only; a login is required.

Join Here