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Iterative reconstruction methods for abdominal water-fat MRI

The signal acquired from MRI is proportional to the density of hydrogen nuclei. The diagnostical value of a measurement can increase significantly when the signal from fat bound hydrogen nuclei is suppressed or exactly measured. The fact that fat-bound hydrogen nuclei have a slightly differing resonance frequency from those bound in water can be used for an exact determination of the signal spectrum.

In recent years, this approach for signal separation gained increased attention since it enables a quantitative measurement of the fat density on the one hand, and, on the other hand, a better quality of fat suppression compared to conventional methods. However, additional measurements are required causing a lengthened acquisition time. The aim of this project is to reduce the acquisition time by iterative reconstruction techniques.

Project manager:
Dr. Marcel Dominik Nickel , Prof. Dr.-Ing. habil. Andreas Maier, Prof. Dr.-Ing. Joachim Hornegger

Project participants:
Felix Lugauer, M. Sc.

Keywords:
abdominal MRI; water-fat quantification; iterative reconstruction; compressed sensing

Duration: 1.12.2013 - 30.5.2017

Sponsored by:
Siemens AG, Healthcare Sector

Contact:
Maier, Andreas
Phone +49 9131 85 27883, Fax +49 9131 85 27270, E-Mail: andreas.maier@fau.de
Publications
Lugauer, Felix ; Nickel, Dominik ; Wetzl, Jens ; Kiefer, Berthold ; ; Maier, Andreas: Accelerating Multi-Echo Water-Fat MRI with a Joint Locally Low-Rank and Spatial Sparsity-Promoting Reconstruction. In: Magnetic Resonance Materials in Physics, Biology and Medicine 30 (2017), No. 2, pp 189-202
[doi>10.1007/s10334-016-0595-7]
Allen, Brian ; Lugauer, Felix ; Nickel, Dominik ; Bhatti, Lubna ; Dafalla, Randa ; Dale, Brian ; Jaffe, Tracy ; Bashir, Mustafa: Effect of a Low-Rank Denoising Algorithm on Quantitative MRI-Based Measures of Liver Fat and Iron. In: International Society for Magnetic Resonance in Medicine (Ed.) : Proceedings of the 24th Annual Meeting of the ISMRM (ISMRM 2016) (24th Annual Meeting of the ISMRM (ISMRM 2016) Singapur 7.-13.5.2016). 2016, pp 4224.
Lugauer, Felix ; Nickel, Dominik ; Kannengiesser, Stephan ; Barnes, Samuel ; Holshouser, Barbara ; Wetzl, Jens ; ; Maier, Andreas: Improving Parameter Mapping in MRI Relaxometry and Multi-Echo Dixon Using an Automated Spectral Denoising. In: International Society for Magnetic Resonance in Medicine (Ed.) : Proceedings of the 24th Annual Meeting of the ISMRM (ISMRM 2016) (24th Annual Meeting of the ISMRM (ISMRM 2016) Singapur 7.-13.5.2016). 2016, pp 3269.
Lugauer, Felix ; Nickel, Dominik ; Wetzl, Jens ; Kannengiesser, Stephan A. R. ; Maier, Andreas ; : Robust Spectral Denoising for Water-Fat Separation in Magnetic Resonance Imaging. In: Nassir Navab ; ; Wiliam M. Wells ; Alejandro F. Frangi (Ed.) : Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015 Munich, Germany 05.10.2015). Berlin : Springer International Publishing, 2015, pp 667-674. (Lecture Notes in Computer Science Vol. 9350) - ISBN 978-3-319-24570-6
[doi>10.1007/978-3-319-24571-3_80]
Lugauer, Felix ; Nickel, Dominik ; Wetzl, Jens ; Kiefer, Berthold ; : Water-Fat Separation Using a Locally Low-Rank Enforcing Reconstruction. In: ISMRM (Ed.) : Proceedings of the 23rd Annual Meeting of the ISMRM (ISMRM 2015) (23rd Annual Meeting of the ISMRM (ISMRM 2015) Toronto, ON, Canada 30.5-5.6.2015). 2015, pp 3652.

Institution: Chair of Computer Science 5 (Pattern Recognition)
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