Investigating elastic properties of soft biological tissues

We have developed a signal processing technique to map the axial strain distribution occurring in a medium exposed to a mechanical compression with RF ultrasound signals. This method is based on an adaptive and iterative estimation of local scaling factors, via the exploitation of phase information.

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Bibliographische Detailangaben
Veröffentlicht in:	IEEE engineering in medicine and biology magazine 2002-07, Vol.21 (4), p.86-94
Hauptverfasser:	Brusseau, E., Fromageau, J., Rognin, N.G., Delachartre, P., Vray, D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustics Adaptive signal processing Algorithms Axial strain Bioengineering Biological tissues Biology Biomedical signal processing Capacitive sensors Carotid Arteries - physiopathology Carotid Arteries - ultrastructure Compressing Computer Science Connective Tissue - diagnostic imaging Connective Tissue - physiopathology Coronary Artery Disease - diagnostic imaging Coronary Artery Disease - pathology Coronary Artery Disease - physiopathology Elasticity Engineering Sciences Exploitation Finite Element Analysis Humans Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods Imaging Iterative methods Life Sciences Medical Imaging Medicine Models, Biological Phantoms, Imaging Phase estimation Radio frequencies Radio frequency RF signals Signal and Image processing Signal processing Stress, Mechanical Ultrasonic imaging Ultrasonography Ultrasound Weight-Bearing
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Beschreibung
Zusammenfassung:	We have developed a signal processing technique to map the axial strain distribution occurring in a medium exposed to a mechanical compression with RF ultrasound signals. This method is based on an adaptive and iterative estimation of local scaling factors, via the exploitation of phase information.
ISSN:	0739-5175 1937-4186
DOI:	10.1109/MEMB.2002.1032645