2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging

TL;DR

This paper introduces a 2-D respiration navigation framework for 3-D cardiac MRI that improves image quality by effectively compensating for respiratory motion during continuous scans.

Contribution

It proposes a novel sampling adaptation to capture 2-D respiration data and a pipeline to extract respiration states for enhanced motion compensation.

Findings

Improved image quality with respiration compensation.

Outperforms previous 1-D respiration navigation methods.

Effective in continuous cardiac MRI protocols.

Abstract

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.