Motion Estimation in Echocardiography Using Sparse Representation and Dictionary Learning
This paper introduces a new method for cardiac motion estimation in 2-D ultrasound images. The motion estimation problem is formulated as an energy minimization, whose data fidelity term is built using the assumption that the images are corrupted by multiplicative Rayleigh noise. In addition to a cl...
Description complète
Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 27(2018), 1 vom: 18. Jan., Seite 64-77
|
|---|
| Auteur principal: |
Ouzir, Nora
(Auteur) |
|---|
| Autres auteurs: |
Basarab, Adrian,
Liebgott, Herve,
Harbaoui, Brahim,
Tourneret, Jean-Yves |
|---|
| Format: | Article en ligne
|
|---|
| Langue: | English |
|---|
| Publié: |
2018
|
|---|
| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Sujets: | Journal Article
Dictionaries
Machine learning
Matching pursuit algorithms
Motion estimation
Motion measurement
Two dimensional displays
Ultrasonic imaging |
|---|