Tissue elasticity reconstruction based on ultrasonic displacement and strain images
- 1 July 1995
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
- Vol. 42 (4), 747-765
- https://doi.org/10.1109/58.393117
Abstract
A method is presented to reconstruct the elastic modulus of soft tissue based on ultrasonic displacement and strain images. Incompressible and compressible media are considered separately. Problems arising with this method, as well as applications to real measurements on gel-based, tissue equivalent phantoms, are given. Results show that artifacts present in strain images can be greatly reduced using a hybrid reconstruction procedure based on numerical solution of the partial differential equations describing mechanical equilibrium of a deformed medium.< >Keywords
This publication has 24 references indexed in Scilit:
- Ultrasonic biomechanical strain gauge based on speckle trackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Measurement of arterial wall motion using Fourier based speckle tracking algorithmsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Tissue characterization from ultrasonic imaging of movement and deformationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Elasticity imaging for early detection of renal pathologyJapanese Journal of Clinical Oncology, 1995
- Elastography: A quantitative method for imaging the elasticity of biological tissuesUltrasonic Imaging, 1991
- Ultrasonic imaging of internal vibration of soft tissue under forced vibrationIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1990
- Quantitative tissue motion analysis of digitized m-mode images: Gestational differences of fetal lungJapanese Journal of Clinical Oncology, 1990
- Tissue response to mechanical vibrations for “sonoelasticity imaging”Japanese Journal of Clinical Oncology, 1990
- “Sonoelasticity” images derived from ultrasound signals in mechanically vibrated tissuesJapanese Journal of Clinical Oncology, 1990
- Low-frequency acoustic characteristics of biological tissuesMechanics of Composite Materials, 1976