Free-Breathing, Self-Navigated and Dynamic 3-D Multi-Contrast Cardiac CINE Imaging Using Cartesian Sampling and Compressed Sensing

Hoppe E, Wetzl J, Forman C, Koerzdoerfer G, Schneider M, Speier P, Schmidt M, Maier A (2019)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Pages Range: 2129

Conference Proceedings Title: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition)

Event location: Montreal

Abstract

We present a free-breathing multi-contrast 3-D cardiac CINE acquisition and reconstruction technique based on Compressed Sensing. Inversion pulses were repeatedly applied during a continuous acquisition to sample contrast- and cardiac-resolved 3-D data, while a self-navigation method was applied for respiratory gating. Validation was performed in a phantom, showing recovery curves and T1* maps in good correlation to known T1 values for the phantom as well as a MOLLI reference measurement. Feasibility for in-vivo application was demonstrated in a healthy volunteer.

Authors with CRIS profile

Involved external institutions

Siemens AG, Healthcare Sector Germany (DE)

How to cite

APA:

Hoppe, E., Wetzl, J., Forman, C., Koerzdoerfer, G., Schneider, M., Speier, P.,... Maier, A. (2019). Free-Breathing, Self-Navigated and Dynamic 3-D Multi-Contrast Cardiac CINE Imaging Using Cartesian Sampling and Compressed Sensing. In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition) (pp. 2129). Montreal, CA.

MLA:

Hoppe, Elisabeth, et al. "Free-Breathing, Self-Navigated and Dynamic 3-D Multi-Contrast Cardiac CINE Imaging Using Cartesian Sampling and Compressed Sensing." Proceedings of the Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition), Montreal 2019. 2129.

BibTeX: Download