DocumentCode
2429173
Title
Longitudinal strain estimation in incompressible cylindrical tissues from magnetic resonance imaging
Author
Wei, Qi ; Pai, Dinesh K.
Author_Institution
Dept. of Comput. Sci., Univ. of British Columbia, Vancouver, BC, Canada
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
7159
Lastpage
7163
Abstract
In this paper, we present a simple approach for estimating the average longitudinal strains from models reconstructed from medical images. It can be used for many incompressible generalized cylindrical tissues, such as tendons, ligaments, and fusiform muscles; the major deformation directions of these soft tissues are along the longitudinal axes. The method is especially useful when pre- and post-deformation tissue correspondences are difficult to establish directly from images for various reasons, such as insufficient image resolution, homogenous image intensity, and noise. Incompressibility, which is accepted as a good approximation for soft tissues, is exploited as a constraint on the tissue deformation. Experiments with Magnetic Resonance Imaging (MRI) of tissue phantoms and computer simulations show that the method is accurate and practical even in the presence of noise. Finally, we demonstrate the usefulness of our approach on studying extraocular muscle deformation.
Keywords
biomechanics; biomedical MRI; deformation; image reconstruction; medical image processing; muscle; extraocular muscle deformation; fusiform muscles; image reconstruction; incompressible cylindrical tissues; ligaments; longitudinal strain estimation; magnetic resonance imaging; medical image processing; tendons; tissue deformation; tissue phantoms; Algorithms; Biomechanics; Biomedical Engineering; Computer Simulation; Humans; Magnetic Resonance Imaging; Models, Biological; Oculomotor Muscles; Phantoms, Imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5335349
Filename
5335349
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