Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/75466
Título: Strain Tensor Elastography: 2D and 3D Visualizations
Autores/as: Sosa Cabrera,Darío 
Krissian , Karl 
González-Fernández, Javier
Gomez-Deniz, Luis 
Rovaris, E. 
Castaño Moraga,Carlos Alberto 
Ruiz-Alzola, Juan 
Clasificación UNESCO: 3314 Tecnología médica
Palabras clave: Elastography
Strain Tensor
Axial Strain
Diffusion Tensor Magnetic Resonance Imaging
Ultrasound Elastography
Fecha de publicación: 2009
Editor/a: Springer 
Publicación seriada: Tensors In Image Processing And Computer Vision
Resumen: 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
Fuente: 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)
Colección:Capítulo de libro
Vista completa

Citas de WEB OF SCIENCETM
Citations

2
actualizado el 29-dic-2024

Visitas

137
actualizado el 11-feb-2023

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.