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Inversion algorithms used to convert acquired MR elastography wave data into material property estimates often assume that the underlying materials are locally homogeneous. Here we evaluate the impact of that… Click to show full abstract
Inversion algorithms used to convert acquired MR elastography wave data into material property estimates often assume that the underlying materials are locally homogeneous. Here we evaluate the impact of that assumption on stiffness estimates in gray‐matter regions of interest in brain MR elastography.
Keywords:
homogeneity assumption;
impact material;
assumption;
stiffness estimates;
material homogeneity
Journal Title: Magnetic Resonance in Medicine
Year Published: 2022
Link to full text (if available)
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Journal Title: Magnetic Resonance in Medicine
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!