NDLI: Shear wave propagation in anisotropic soft tissues and gels

Content Provider	IEEE Xplore Digital Library
Author	Namani, R. Bayly, P.V.
Copyright Year	2009
Description	Author affiliation: Washington University, Mechanical, Aerospace, and Structural Engineering, Box 1185, 1 Brookings Drive, St. Louis, Missouri 63130 USA (Bayly, P.V.) \|\| Washington University, Mechanical, Aerospace, and Structural Engineering, Box 1185, 1 Brookings Drive, St. Louis, Missouri 63130 (Namani, R.)
Abstract	The propagation of shear waves in soft tissue can be visualized by magnetic resonance elastography (MRE) to characterize tissue mechanical properties. Dynamic deformation of brain tissue arising from shear wave propagation may underlie the pathology of blast-induced traumatic brain injury. White matter in the brain, like other biological materials, exhibits a transversely isotropic structure, due to the arrangement of parallel fibers. Appropriate mathematical models and well-characterized experimental systems are needed to understand wave propagation in these structures. In this paper we review the theory behind waves in anisotropic, soft materials, including small-amplitude waves superimposed on finite deformation of a nonlinear hyperelastic material. Some predictions of this theory are confirmed in experimental studies of a soft material with controlled anisotropy: magnetically-aligned fibrin gel.
Starting Page	1117
Ending Page	1122
File Size	482301
Page Count	6
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333418
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Anisotropic magnetoresistance Biological tissues Magnetic materials Soft magnetic materials Biological materials Visualization Magnetic resonance Mechanical factors Brain Pathology
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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