Angular strain estimation method for elastography

2007 ◽  
Vol 54 (12) ◽  
pp. 2653-2661 ◽  
Author(s):  
Unmin Bae ◽  
Yongmin Kim
Keyword(s):  
Estimation Method ◽  
Strain Estimation ◽  
Angular Strain

In Vivo Response to Compression of 35 Breast Lesions Observed with a Two-Dimensional Locally Regularized Strain Estimation Method

2014 ◽  
Vol 40 (2) ◽  
pp. 300-312 ◽  
Author(s):  
Elisabeth Brusseau ◽  
Valérie Detti ◽  
Agnès Coulon ◽  
Emmanuèle Maissiat ◽  
Nawele Boublay ◽  
...  
Keyword(s):  
Estimation Method ◽  
Breast Lesions ◽  
Two Dimensional ◽  
Strain Estimation

Coronary Artery Wall Strain Estimation From Clinical IVUS Images

2007 ◽  
Author(s):  
Yun Liang ◽  
Hui Zhu ◽  
Thomas Gehrig ◽  
Morton H. Friedman
Keyword(s):  
Arterial Wall ◽  
Mechanical Response ◽  
Plaque Rupture ◽  
Radial Strain ◽  
Estimation Method ◽  
Pressure Change ◽  
Tissue Deformation ◽  
Cross Sectional ◽  
Strain Estimation

Atherosclerotic plaque rupture is responsible for the majority of acute coronary syndromes and myocardial infarctions. Intravascular ultrasound (IVUS) imaging is a widely available clinical technique providing real time cross-sectional images of the vessel wall and plaque morphometry. However, IVUS echo images have limited ability to predict the vulnerability of the plaque. The mechanical behavior of the plaque is consistent with its underlying components, suggesting that measurements of plaque mechanical response can be used to assess the likelihood of plaque rupture [1]. Arterial wall strain in response to luminal pressure change is such a measurable quantity. IVUS elastography has been developed to measure the radial strain through correlation analysis of the IVUS radiofrequency (RF) signal [2]. Due to the movements of IVUS catheter caused by cardiac motion and the nonlinearity of tissue deformation, reliable strain is obtained by elastography only when the tissue motion is aligned with the RF direction and the RF traces correspond to the same axial location. This is difficult to achieve in vivo. We have developed a strain estimation method based on IVUS image registration. This 2D processing method has the ability to overcome in-plane catheter movement and heterogeneous tissue deformation, thereby increasing its accuracy. Using retrospectively retrieved cardiac phase information, we propose a practical method to estimate cross-sectional coronary arterial wall strain distribution from clinically acquired images during a conventional IVUS procedure.

Measurement of Coronary Artery Wall Strain In Situ Using IVUS

2007 ◽  
Author(s):  
Yun Liang ◽  
Hui Zhu ◽  
Morton H. Friedman
Keyword(s):  
Plaque Rupture ◽  
Radial Strain ◽  
Estimation Method ◽  
Pressure Change ◽  
Cross Sectional ◽  
Strain Estimation ◽  
2D Strain ◽  
Rf Signals ◽  
Ivus Image ◽  
Atherosclerotic Plaque Rupture

Atherosclerotic plaque rupture is the leading cause of mortality in cardiovascular diseases. Studying biomechanics of plaque provides important insights into its vulnerability, since a plaque behaves consistently with its underlying contents. Arterial wall strain in response to luminal pressure change is such a measurable quantity. Intravascular ultrasound (IVUS) imaging is a wildly available clinical technique providing real time cross-sectional images of the vessel wall and plaque morphometry. IVUS elastography has been used to measure the radial strain through correlation analysis of the IVUS radiofrequency (RF) signals. We have developed a strain estimation method based on IVUS image registration. Our method has the ability to overcome nonlinear tissue deformation and measure 2D strain.

Notch stress-strain estimation method based on pseudo stress correction under multiaxial thermo-mechanical cyclic loading

2020 ◽  
Vol 199 ◽  
pp. 144-157 ◽  
Author(s):  
Dao-Hang Li ◽  
De-Guang Shang ◽  
Long Xue ◽  
Luo-Jin Li ◽  
Ling-Wan Wang ◽  
...  
Keyword(s):  
Cyclic Loading ◽  
Estimation Method ◽  
Stress Strain ◽  
Strain Estimation ◽  
Notch Stress

Coaches estimation method for the athletes (CEM)

1995 ◽  
Author(s):  
Nagykaldi Csaba ◽  
Manohar Singh Badhan
Keyword(s):  
Estimation Method
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