Literature DB >> 18620800

Estimation of the transverse strain tensor in the arterial wall using IVUS image registration.

Yun Liang1, Hui Zhu, Morton H Friedman.   

Abstract

Intravascular ultrasound (IVUS) elastography is an imaging technique that obtains the local mechanical properties of the artery wall and atherosclerotic plaques through strain measurements using IVUS. Knowledge of these mechanical properties may provide crucial information that can help in estimating plaque composition and its vulnerability. Here, we present a new method to estimate the transverse strain tensor of the arterial wall based on nonrigid image registration using IVUS images. This method registers a pair of images acquired at a vessel site under different levels of luminal pressure. The 2-D displacement field in the vessel cross-section is estimated from image registration; then the displacement field is used to calculate the 2-D local strain tensor. From the strain tensor, the strain in any direction in the cross-section can be obtained; here, the radial and circumferential strain distributions are presented. This strain estimation method has been validated with synthetic motion IVUS images and evaluated using the IVUS images of a polyvinyl alcohol cryogel phantom. The accuracy of the estimated strain and the ability of the method to overcome IVUS system noise are demonstrated.

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Year:  2008        PMID: 18620800     DOI: 10.1016/j.ultrasmedbio.2008.04.005

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  9 in total

1.  Flow interactions with cells and tissues: cardiovascular flows and fluid-structure interactions. Sixth International Bio-Fluid Mechanics Symposium and Workshop, March 28-30, 2008, Pasadena, California.

Authors:  Morton H Friedman; Rob Krams; Krishnan B Chandran
Journal:  Ann Biomed Eng       Date:  2010-03       Impact factor: 3.934

2.  In vivo IVUS-based 3-D fluid-structure interaction models with cyclic bending and anisotropic vessel properties for human atherosclerotic coronary plaque mechanical analysis.

Authors:  Chun Yang; Richard G Bach; Jie Zheng; Issam Ei Naqa; Pamela K Woodard; Zhongzhao Teng; Kristen Billiar; Dalin Tang
Journal:  IEEE Trans Biomed Eng       Date:  2009-06-26       Impact factor: 4.538

3.  IVUS-based computational modeling and planar biaxial artery material properties for human coronary plaque vulnerability assessment.

Authors:  Haofei Liu; Mingchao Cai; Chun Yang; Jie Zheng; Richard Bach; Mehmet H Kural; Kristen L Billiar; David Muccigrosso; Dongsi Lu; Dalin Tang
Journal:  Mol Cell Biomech       Date:  2012-03

4.  Intravascular ultrasound elastography analysis of the elastic mechanical properties of atherosclerotic plaque.

Authors:  Zhaohuan Li; Lin Wang; Xiaobo Hu; Pengfei Zhang; Yifei Chen; Xinxin Liu; Mingjun Xu; Haijun Su; Mei Zhang
Journal:  Int J Cardiovasc Imaging       Date:  2017-05-13       Impact factor: 2.357

5.  Non-rigid image registration based strain estimator for intravascular ultrasound elastography.

Authors:  Michael S Richards; Marvin M Doyley
Journal:  Ultrasound Med Biol       Date:  2012-12-15       Impact factor: 2.998

6.  3D MRI-based anisotropic FSI models with cyclic bending for human coronary atherosclerotic plaque mechanical analysis.

Authors:  Dalin Tang; Chun Yang; Shunichi Kobayashi; Jie Zheng; Pamela K Woodard; Zhongzhao Teng; Kristen Billiar; Richard Bach; David N Ku
Journal:  J Biomech Eng       Date:  2009-06       Impact factor: 2.097

7.  Methods for robust in vivo strain estimation in the carotid artery.

Authors:  M McCormick; T Varghese; X Wang; C Mitchell; M A Kliewer; R J Dempsey
Journal:  Phys Med Biol       Date:  2012-10-18       Impact factor: 3.609

8.  Image-based modeling and precision medicine: patient-specific carotid and coronary plaque assessment and predictions.

Authors:  Dalin Tang; Chun Yang; Jie Zheng; Gador Canton; Richard G Bach; Thomas S Hatsukami; Liang Wang; Deshan Yang; Kristen L Billiar; Chun Yuan
Journal:  IEEE Trans Biomed Eng       Date:  2013-01-25       Impact factor: 4.538

9.  Automatic lumen segmentation in IVOCT images using binary morphological reconstruction.

Authors:  Matheus Cardoso Moraes; Diego Armando Cardona Cardenas; Sérgio Shiguemi Furuie
Journal:  Biomed Eng Online       Date:  2013-08-09       Impact factor: 2.819

  9 in total

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