Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction

Conference paper (2020)

Authors

Omer Burak Demirel University of Minnesota Twin Cities
S.D. Weingärtner ImPhys/Medical Imaging - AS , ImPhys/Computational Imaging - AS , University of Minnesota Twin Cities
Steen Moeller University of Minnesota Twin Cities
Mehmet Akcakaya University of Minnesota Twin Cities
Research Group
ImPhys/Medical Imaging (AS) (TU Delft)
Copyright: © 2020 Omer Burak Demirel, S.D. Weingärtner, Steen Moeller, Mehmet Akcakaya
DOI
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https://doi.org/10.1109/ISBI45749.2020.9098326
Magnetic resonance imaging Parallel imaging Myocardial perfusion Accelerated MRI Outer volume suppression Simultaneous multi-slice imaging
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Published Date

2020

Language

English

Reuse Rights

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Faculty

Applied Sciences

Department

ImPhys/Imaging Physics

Research Group

ImPhys/Medical Imaging

Abstract

Perfusion cardiac MRI (CMR) is a radiation-free and noninvasive imaging tool which has gained increasing interest for the diagnosis of coronary artery disease. However, resolution and coverage are limited in perfusion CMR due to the necessity of single snap-shot imaging during the first-pass of a contrast agent. Simultaneous multi-slice (SMS) imaging has the potential for high acceleration rates with minimal signal-to-noise ratio (SNR) loss. However, its utility in CMR has been limited to moderate acceleration factors due to residual leakage artifacts from the extra-cardiac tissue such as the chest and the back. Outer volume suppression (OVS) with leakage-blocking reconstruction has been used to enable higher acceleration rates in perfusion CMR, but suffers from higher noise amplification. In this study, we sought to augment OVS-SMS/MB imaging with a regularized leakage-blocking reconstruction algorithm to improve image quality. Results from highly-accelerated perfusion CMR show that the method improves upon SMS-SPIRiT in terms of leakage reduction and split slice (ss)-GRAPPA in terms of noise mitigation.