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Abstract #4347

Data Reduction Analysis for Brain MR Elastography

Matthew C. Murphy1, Kevin J. Glaser2, Armando Manduca2, Joel P. Felmlee2, Richard L. Ehman2

1Mayo Clinic College of Medicine, Rochester, MN, USA; 2Mayo Clinic College of Medicine, Rochester, Minnesota, USA

MR Elastography of the brain is being investigated as a technique capable of diagnosing currently undetectable diseases. To ensure patient comfort, acquisition time must be minimized, particularly the time of active vibration of the head. This work aims to determine how much k-space data must be collected to reliably estimate the stiffness of brain tissue. Methods of data reduction investigated here include replacement with either k-space data from an equivalent acquisition without any vibration or simply zeros.