Mariya Doneva1, Peter Brnert2,
Holger Eggers2, Alfred Mertins1, John Pauly3,
Michael Lustig3,4
1Institute for Signal Processing,
University of Lbeck, Lbeck, Germany; 2Philips Research Europe,
Hamburg, Germany; 3Electrical Engineering, Stanford University,
CA, United States; 4Electrical Engineering, UC Berkeley, CA,
United States
An
integrated Compressed Sensing-Dixon algorithm is proposed, which applies a sparsity
constraint on the water and fat images and jointly estimates water, fat and
field map images. The method allows scan time reduction of above 3 in 3D MRI,
fully compensating for the additional time necessary to acquire the chemical
shift encoded data.