Kevin John Glaser1, Armando Manduca1, Richard Lorne Ehman1
1Radiology, Mayo Clinic, Rochester, MN, USA
MR elastography (MRE) has become a clinically valuable technique for applications such as breast and liver imaging. For MRE to continue to be used in clinical practice, the imaging times must be kept short enough for patient compliance. One way to reduce imaging times is to lower the resolution of the acquisition. However, because of the phase-based nature of MRE, MRE data cannot always be undersampled the way that magnitude-based MRI can. This work explores a model for the k-space properties of MRE data to investigate the relationship between undersampling the data and the quality of the elastograms.