English

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

Computer Vision and Pattern Recognition 2020-12-29 v1

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.

Keywords

Cite

@article{arxiv.2012.13700,
  title  = {2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging},
  author = {Elisabeth Hoppe and Jens Wetzl and Philipp Roser and Lina Felsner and Alexander Preuhs and Andreas Maier},
  journal= {arXiv preprint arXiv:2012.13700},
  year   = {2020}
}

Comments

Accepted for Bildverarbeitung f\"ur die Medizin, 07.-09.03.2021

R2 v1 2026-06-23T21:25:51.302Z