Literature DB >> 17202622

Two-dimensional multi-level strain estimation for discontinuous tissue.

Hairong Shi1, Tomy Varghese.   

Abstract

A large number of the strain estimation methods presented in the literature are based on the assumption of tissue continuity that establishes a continuous displacement field. However, in certain locations in the body such as the arteries in vivo scanning may produce displacement fields that are discontinuous between the two walls of the artery. Many of the displacement or strain estimators fail when the displacement fields are discontinuous. In this paper, we present a new 2D multi-level motion or displacement tracking method for accurate estimation of the strain in these situations. The final high-resolution displacement estimate is obtained using two processing steps. The first step involves an estimation of a coarse displacement estimate utilizing B-mode or envelope signals. To reduce computational time, the coarse displacement estimates are obtained starting from down-sampled B-mode pre- and post-compression image pairs using a pyramidal processing approach. The coarse displacement estimate obtained from the B-mode data is used to guide the final 2D cross-correlation computations on radio-frequency (RF) data. Results from finite element simulations and in vivo experimental data demonstrate the feasibility of this approach for imaging tissue with discontinuous displacement fields.

Mesh:

Year:  2006        PMID: 17202622     DOI: 10.1088/0031-9155/52/2/006

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  49 in total

1.  Lagrangian displacement tracking using a polar grid between endocardial and epicardial contours for cardiac strain imaging.

Authors:  Chi Ma; Tomy Varghese
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  Electrode displacement strain imaging of thermally-ablated liver tissue in an in vivo animal model.

Authors:  N Rubert; S Bharat; R J DeWall; A Andreano; C Brace; J Jiang; L Sampson; T Varghese
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

3.  Atherosclerotic plaque components characterization and macrophage infiltration identification by intravascular ultrasound elastography based on b-mode analysis: validation in vivo.

Authors:  Peng-Fei Zhang; Hai-Jun Su; Mei Zhang; Ji-Fu Li; Chun-Xi Liu; Shi-Fang Ding; Ya Miao; Liang Chen; Xiao-Nan Li; Xin Yi; Yun Zhang
Journal:  Int J Cardiovasc Imaging       Date:  2010-06-29       Impact factor: 2.357

Review 4.  A review of carotid atherosclerosis and vascular cognitive decline: a new understanding of the keys to symptomology.

Authors:  Robert J Dempsey; Raghu Vemuganti; Tomy Varghese; Bruce P Hermann
Journal:  Neurosurgery       Date:  2010-08       Impact factor: 4.654

5.  Improvement of elastographic displacement estimation using a two-step cross-correlation method.

Authors:  Hao Chen; Hairong Shi; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2007-01       Impact factor: 2.998

6.  Shear strain imaging using shear deformations.

Authors:  Min Rao; Tomy Varghese; Ernest L Madsen
Journal:  Med Phys       Date:  2008-02       Impact factor: 4.071

7.  Multilevel hybrid 2D strain imaging algorithm for ultrasound sector/phased arrays.

Authors:  Hao Chen; Tomy Varghese
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

8.  Ultrasound 2D Strain Estimator Based on Image Registration for Ultrasound Elastography.

Authors:  Xiaofeng Yang; Mylin Torres; Stephanie Kirkpatrick; Walter J Curran; Tian Liu
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-20

9.  Comparison of cardiac displacement and strain imaging using ultrasound radiofrequency and envelope signals.

Authors:  Chi Ma; Tomy Varghese
Journal:  Ultrasonics       Date:  2012-11-29       Impact factor: 2.890

10.  Segmental Analysis of Cardiac Short-Axis Views Using Lagrangian Radial and Circumferential Strain.

Authors:  Chi Ma; Xiao Wang; Tomy Varghese
Journal:  Ultrason Imaging       Date:  2015-11-16       Impact factor: 1.578

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.