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 2D 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 1D respiration navigation approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Al-Mallah MH, Shareef MN. The role of cardiac magnetic resonance imaging in the assessment of non-ischemic cardiomyopathy. Heart Fail Rev. 2011;16(4):369–380.
Florian A, Jurcut R, Ginghina C, et al. Cardiac magnetic resonance imaging in ischemic heart disease: a clinical review. J Med Life. 2011;4(4):330.
Wetzl J, Schmidt M, Pontana F, et al. Single-breath-hold 3-D cine imaging of the left ventricle using cartesian sampling. MAGMA. 2018;31(1):1931.
Feng L, Coppo S, Piccinni D, et al. 5D whole-heart sparse mri. Magn Reson Med. 2018;79(2):826–838.
Hoppe E, Wetzl J, Forman C, et al. Free-breathing, self-navigated and dynamic 3-D multi-contrast cardiac cine imaging using cartesian sampling and compressed sensing. In: Proc Int Soc Magn Reson Med Sci Meet Exhib; 2019. p. 1608.
Shaw JL, Yang Q, Zhou Z, et al. Free-breathing, non-ecg, continuous myocardial t1 mapping with cardiovascular magnetic resonance multitasking. Magn Reson Med. 2019;81(4):2450–2463.
Di Sopra L, Piccini D, Coppo S, et al. An automated approach to fully self-gated free-running cardiac and respiratory motion-resolved 5D whole-heart mri. Magn Reson Med. 2019;82(6):2118–2132.
Wetzl J, Lugauer F, Schmidt M, et al. Free-breathing, self-navigated isotropic 3-D CINE imaging of the whole heart using cartesian sampling. In: Proc Int Soc Magn Reson Med Sci Meet Exhib; 2016. p. 411.
Preuhs A, Manhart M, Roser P, et al. Appearance learning for image-based motion estimation in tomography. IEEE Trans Med Imaging. 2020;.
Donoho DL, Johnstone JM. Ideal spatial adaptation by wavelet shrinkage. biometrika. 1994;81(3):425–455.
Hoppe E, Wetzl J, Yoon S, et al. DeepECG: towards 3-D continuous cardiac mri without ecg-gating - deep learning-based r-wave classification for automated cardiac phase binning. In: Proc Int Soc Magn Reson Med Sci Meet Exhib; 2020. p. 2129.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Der/die Autor(en), exklusiv lizenziert durch Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
About this paper
Cite this paper
Hoppe, E., Wetzl, J., Roser, P., Felsner, L., Preuhs, A., Maier, A. (2021). 2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging. In: Palm, C., Deserno, T.M., Handels, H., Maier, A., Maier-Hein, K., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2021. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-33198-6_38
Download citation
DOI: https://doi.org/10.1007/978-3-658-33198-6_38
Published:
Publisher Name: Springer Vieweg, Wiesbaden
Print ISBN: 978-3-658-33197-9
Online ISBN: 978-3-658-33198-6
eBook Packages: Computer Science and Engineering (German Language)