Matthew Mcgarry1, Elijah van Houten2, Curtis Johnson3, Bradley P. Sutton3, John G. Georgiadis3, John Weaver4, Keith Paulsen1, 4
1Thayer School of Engineering, Dartmouth College, Hanover, NH, United States; 2Universit de Sherbrooke, Sherbrooke, QC, Canada; 3University of Illinois at Urbana-Champaign, Urbana, IL, United States; 4Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States
MR elastography has proven useful for diagnosing various diseases (such as liver fibrosis), through quantitative images of the storage modulus. Images of alternative parameters such as the viscoelastic loss modulus or level of anisotropy are also available; however, their utility is hampered by higher image noise levels. An important factor determining noise in an MRE parameter image is the sensitivity of the displacements to changes in the parameter value. Low sensitivity will lead to more image noise. This work investigates using different resolutions for each reconstructed parameter type to improve reconstructions of low sensitivity parameters.