Abstract #1590
Prior-based Initialization for Automated Analysis of 3D MRE
Bogdan Dzyubak 1 , Armando Manduca 2 , Kevin J. Glaser 3 , and Richard L. Ehman 3
1
Physiology and Biomedical Engineering, Mayo
Clinic, Rochester, MN, United States,
2
Physiology
and Biomedical Engineering, Mayo Clinic, Rochester,
Minnesota, United States,
3
Radiology,
Mayo Clinic, Rochester, Minnesota, United States
Our clinical implementation of liver magnetic resonance
elastography (MRE), used for noninvasively staging
hepatic fibrosis, has recently been extended to analyze
wave propagation in 3D using a fast EPI-based
acquisition. This produces images with severe intensity
inhomogeneity, low edge contrast, and fat suppression,
which make fully automated processing, such as that
developed for 2D GRE-based MRE, extremely challenging. A
new method that does not depend on global intensity
values and is able to find large liver areas to
initialize liver segmentation despite severe intensity
inhomogeneity has been developed and evaluated in
clinical images produced by the standard 3D MRE
sequence.
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