Title
Level set diffusion for MRE image enhancement
Abstract
Magnetic resonance elastography (MRE) is an emerging technique for noninvasive imaging of tissue elasticity. Proprietary algorithms are used to reconstruct tissue elasticity from the images of wave propagation within soft tissue. Elasticity reconstruction suffers from interfering noise and outliers. The interference causes biased elasticity and undesired artifacts in the reconstructed elasticity map. Anisotropic geometric diffusion is able to suppress image noise while enhance inherent features. Therefore we integrate anisotropic diffusion with level set methods for numerical enhancement of MRE wave images. Performance evaluation of the proposed level set diffusion (LSD) approach was conducted on both synthetic and real MRE datasets. Experimental results confirm the effectiveness of LSD for MRE image enhancement and direct inversion.
Year
DOI
Venue
2010
10.1007/978-3-642-15699-1_32
MIAR
Keywords
Field
DocType
reconstructed elasticity map,mre wave image,proposed level set diffusion,soft tissue,mre image enhancement,anisotropic geometric diffusion,anisotropic diffusion,elasticity reconstruction,tissue elasticity,real mre datasets,level set,wave propagation,level set method
Anisotropic diffusion,Magnetic resonance elastography,Median filter,Wave propagation,Computer science,Algorithm,Level set,Image noise,Medical physics,Speckle noise,Elasticity (economics)
Conference
Volume
ISSN
ISBN
6326
0302-9743
3-642-15698-3
Citations 
PageRank 
References 
3
0.70
12
Authors
5
Name
Order
Citations
PageRank
Bing Nan Li124018.77
Chee Kong Chui21439.66
Sim Heng Ong342644.63
Stephen Chang41348.90
Etsuko Kobayashi516135.18