Paper Info
Title
Soft tissue discrimination using magnetic resonance elastography with a new elastic level set model
Abstract
Magnetic resonance elastography (MRE) noninvasively images the propagation of mechanical waves within soft tissues. The elastic properties of soft tissues can then be quantified from MRE wave snapshots. Various algorithms have been proposed to obtain their inversion for soft tissue elasticity. Anomalies are assumed to be discernible in the elasticity map. We propose a new elastic level set model to directly detect and track abnormal soft tissues in MRE wave images. It is derived from the Mumford-Shah functional, and employs partial differential equations for function modeling and smoothing. This level set model can interpret MRE wave images without elasticity reconstruction. The experimental results on synthetic and real MRE wave images confirm its effectiveness for soft tissue discrimination.
Year
DOI
Venue
2010
10.1007/978-3-642-15948-0_10
MLMI
Keywords
DocType
Volume
new elastic level set,magnetic resonance elastography,mre wave image,real mre wave image,mechanical wave,soft tissue,abnormal soft tissue,soft tissue elasticity,elasticity reconstruction,elasticity map,mre wave snapshot,soft tissue discrimination,functional model,level set,partial differential equation,level set method
Conference
6357
ISSN
ISBN
Citations 
0302-9743
3-642-15947-8
0
PageRank 
References 
Authors
0.34
5
8
Name
Order
Citations
PageRank
Bing Nan Li124018.77
Chee Kong Chui21439.66
Sim Heng Ong342644.63
Toshikatsu Washio49918.45
Tomokazu Numano500.34
Stephen Chang61348.90
Sudhakar Venkatesh700.68
Etsuko Kobayashi816135.18