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
Link To Document :
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