2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging
This work addresses the problem of respiration artifacts in cardiac MRI for medical imaging specialists, offering an incremental improvement in image quality.
This paper proposes a 2-D respiration navigation framework for 3-D continuous cardiac MRI. It acquires 2-D respiration information during a continuous scan and uses it to reconstruct data from one respiration phase, resulting in improved image quality compared to no compensation and a 1-D approach.
Continuous protocols for cardiac magnetic resonance imaging enable sampling of the cardiac anatomy simultaneously resolved into cardiac phases. To avoid respiration artifacts, associated motion during the scan has to be compensated for during reconstruction. In this paper, we propose a sampling adaption to acquire 2-D respiration information during a continuous scan. Further, we develop a pipeline to extract the different respiration states from the acquired signals, which are used to reconstruct data from one respiration phase. Our results show the benefit of the proposed workflow on the image quality compared to no respiration compensation, as well as a previous 1-D respiration navigation approach.