Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/75466
Title: Strain Tensor Elastography: 2D and 3D Visualizations
Authors: Sosa Cabrera,Darío 
Krissian , Karl 
González-Fernández, Javier
Gomez-Deniz, Luis 
Rovaris, E. 
Castaño Moraga,Carlos Alberto 
Ruiz-Alzola, Juan 
UNESCO Clasification: 3314 Tecnología médica
Keywords: Elastography
Strain Tensor
Axial Strain
Diffusion Tensor Magnetic Resonance Imaging
Ultrasound Elastography
Issue Date: 2009
Publisher: Springer 
Journal: Tensors In Image Processing And Computer Vision
Abstract: Elastography measures the elastic properties of soft tissues using principally ultrasound (US) or magnetic resonance (MR) signals. The elastic behavior of tissues can be analyzed with tensor signal processing. Different approaches have been developed to estimate and image the elastic properties in the tissue. In ultrasound elastography, the estimation of the displacement and strain fields is mostly based on measures computed from the Radio Frequency signals, such as time-domain cross-correlation. We propose to estimate the displacement field from two consecutive B-mode images using a multiscale optical flow method. The tensor strain field can then be plotted as ellipsoids, visualizing in a single image the standard scalar parameters that are usually represented separately. This technique can offer physicians the possibility of extracting new discriminant and useful parameters related to the elastic behavior of tissues. Although clinical validation is still needed, our experiments from finite element and ultrasound simulations display consistent and reliable results.
URI: http://hdl.handle.net/10553/75466
ISBN: 978-1-84882-298-6
ISSN: 1617-7916
DOI: 10.1007/978-1-84882-299-3_18
Source: Tensors in Image Processing and Computer Vision. Advances in Pattern Recognition / Aja-Fernández S., de Luis García R., Tao D., Li X. (eds), p. 381-403, (2009)
Appears in Collections:Capítulo de libro
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