Meeting Banner
Abstract #1191

Two-minute whole-heart MRI at 0.9 mm3 using a combined super-resolution and motion-corrected undersampled deep-learning reconstruction

Andrew Phair1, Simon J. Littlewood1, Anastasia Fotaki1, Thomas J. Fletcher1, Lina Felsner1, Claudia Prieto1,2,3, and René M. Botnar1,2,3,4,5
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile, 4Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 5Institute for Advanced Study, Technical University of Munich, Munich, Germany

Synopsis

Keywords: AI/ML Image Reconstruction, AI/ML Image Reconstruction

Motivation: High-isotropic-resolution whole-heart CMR involves long and unpredictable scan times, often necessitating compromises to be made on the acquired resolution.

Goal(s): To develop a deep-learning-based framework for the reconstruction of high-resolution good-quality whole-heart images from fast undersampled low-resolution scans.

Approach: The Super-MoCo-MoDL framework was extended to combine undersampled and super-resolution reconstruction and then applied to reconstruct 0.9-mm3 isotropic-resolution whole-heart images from 2-minute 4.5-fold-undersampled 1.8×1.8×0.9-mm3 acquisitions.

Results: Sharp high-resolution whole-heart images at 0.9 mm3 were obtained, with an overall acceleration of 18-fold and ~2-minute reconstruction time. Comparable image quality to a high-resolution acquisition was observed, with no significant difference in measured vessel-sharpness values.

Impact: Extending Super-MoCo-MoDL for combined super-resolution and undersampled reconstruction allows sharp whole-heart 3D 0.9-mm3 isotropic-resolution images to be obtained from low-resolution 2-minute scans with 18-fold overall acceleration. This represents a promising approach towards achieving fast high-resolution 3D clinical CMR.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords