Eric Barnhill1, Florian Dittmann2, Sebastian Hirsch2, Jing Guo2, Jürgen Braun1, and Ingolf Sack2
1Institute of Medical Informatics, Charité Universitätsmedizin Berlin, Berlin, Germany, 2Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany
Magnetic Resonance Elastography (MRE) stiffness estimates show differentiated results by feature scale. Here progressive denoising was applied to study the relation between image sharpness (as meaured by Reduced Energy Ratio) and image stiffness estimate (as measured by complex shear modulus magnitude |G*|). Progressive complex-wavelet-based denoising appears to reach stable stiffness estimates in phantom and brain acquisitions. Images of maximum sharpness result in lower overall stiffness estimates than the stable global estimate, suggesting that coarse elasticity estimates do not average fine feature results, but measure a different stiffness scale.
