2-D Locally Regularized Tissue Strain Estimation From Radio-Frequency Ultrasound Images: Theoretical Developments and Results on Experimental Data

In this paper, a 2-D locally regularized strain estimation method for imaging deformation of soft biological tissues from radio-frequency (RF) ultrasound (US) data is introduced. Contrary to most 2-D techniques that model the compression-induced local displacement as a 2-D shift, our algorithm also...

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Veröffentlicht in:	IEEE transactions on medical imaging Jg. 27; H. 2; S. 145 - 160
Hauptverfasser:	Brusseau, E., Kybic, J., Deprez, J.-F., Basset, O.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.02.2008 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Animals Anisotropic magnetoresistance Anisotropy Biological system modeling Biological tissues Capacitive sensors Computer Simulation Connective Tissue - diagnostic imaging Connective Tissue - physiology Deformable models Economic models Elasticity Elasticity Imaging Techniques - instrumentation Elasticity Imaging Techniques - methods Elasticity Imaging Techniques - trends Elastography Humans Image coding Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image resolution Models, Biological Noise robustness optimization Phantoms, Imaging Radio frequency Reproducibility of Results Sensitivity and Specificity strain estimation Studies Ultrasonic imaging ultrasound (US) United States > US
ISSN:	0278-0062, 1558-254X
Online-Zugang:	Volltext
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