Compressed sensing for chemical shift-based water–fat separation
Corresponding Author
Mariya Doneva
Institute for Signal Processing, University of Lübeck, Lübeck, Germany
Institute for Signal Processing, University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany===Search for more papers by this authorPeter Börnert
Tomographic Imaging Department, Philips Research Europe - Hamburg, Hamburg, Germany
Search for more papers by this authorHolger Eggers
Tomographic Imaging Department, Philips Research Europe - Hamburg, Hamburg, Germany
Search for more papers by this authorAlfred Mertins
Institute for Signal Processing, University of Lübeck, Lübeck, Germany
Search for more papers by this authorJohn Pauly
Department of Electrical Engineering, Magnetic Resonance Systems Research Laboratory, Stanford University, Stanford, California, USA
Search for more papers by this authorMichael Lustig
Department of Electrical Engineering, Magnetic Resonance Systems Research Laboratory, Stanford University, Stanford, California, USA
Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, California, USA
Search for more papers by this authorCorresponding Author
Mariya Doneva
Institute for Signal Processing, University of Lübeck, Lübeck, Germany
Institute for Signal Processing, University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany===Search for more papers by this authorPeter Börnert
Tomographic Imaging Department, Philips Research Europe - Hamburg, Hamburg, Germany
Search for more papers by this authorHolger Eggers
Tomographic Imaging Department, Philips Research Europe - Hamburg, Hamburg, Germany
Search for more papers by this authorAlfred Mertins
Institute for Signal Processing, University of Lübeck, Lübeck, Germany
Search for more papers by this authorJohn Pauly
Department of Electrical Engineering, Magnetic Resonance Systems Research Laboratory, Stanford University, Stanford, California, USA
Search for more papers by this authorMichael Lustig
Department of Electrical Engineering, Magnetic Resonance Systems Research Laboratory, Stanford University, Stanford, California, USA
Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, California, USA
Search for more papers by this authorAbstract
Multi echo chemical shift-based water–fat separation methods allow for uniform fat suppression in the presence of main field inhomogeneities. However, these methods require additional scan time for chemical shift encoding. This work presents a method for water–fat separation from undersampled data (CS-WF), which combines compressed sensing and chemical shift-based water–fat separation. Undersampling was applied in the k-space and in the chemical shift encoding dimension to reduce the total scanning time. The method can reconstruct high quality water and fat images in 2D and 3D applications from undersampled data. As an extension, multipeak fat spectral models were incorporated into the CS-WF reconstruction to improve the water–fat separation quality. In 3D MRI, reduction factors of above three can be achieved, thus fully compensating the additional time needed in three-echo water–fat imaging. The method is demonstrated on knee and abdominal in vivo data. Magn Reson Med, 2010. © 2010 Wiley-Liss, Inc.
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