467-03-008 ISMRM Abstract

Clinical PET/MR perfusion protocol for comprehensive evaluation of coronary artery disease

Primary: Cardiovascular - Myocardium

Secondary: Physics & Engineering - PET/MR

467-03-008 · Perfusion and Coronary · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row H

Keywords: Deep learning reconstruction Coronary artery disease Cardiac PET-MRI Oxygen-15-labeled water Myocardial perfusion imaging

Accepted

Miia Pitkonen ¹, Toni Ihalainen¹, Eero Hippeläinen¹, Outi Sipilä¹, Jyri Lehto², Valtteri Uusitalo¹

¹Department of Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

²Cyclotron Unit, HUS Diagnostic Center, Helsinki, Finland

Presenting Author: Miia Pitkonen

Synopsis

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References

1. van der Velde N, Hassing HC, Bakker BJ, et al. Improvement of late gadolinium enhancement image quality using a deep learning-based reconstruction algorithm and its influence on myocardial scar quantification. European Radiology (2021) 31: 3846-3855.

2. Sandino CM, Lai P, Vasanawala SS, et al. Accelerating cardiac cine MRI using a deep learning-basedESPIRiT reconstruction. Magn Reson Med 2021; 85:152-67.

3. Schlemper J, Caballero J, Hajnal JV, et al. A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction. IEEE Transactions on Medical Imaging, vol. 37, no. 2, pp. 491-503, 2018.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/467-03-008