Literature DB >> 16003924

3-D correlation-based speckle tracking.

X Chen1, H Xie, R Erkamp, K Kim, C Jia, J M Rubin, M O'Donnell.   

Abstract

Widely-used 1-D/2-D speckle tracking techniques in elasticity imaging often experience significant speckle decorrelation in applications involving large elevational motion (i.e., out of plane motion). The problem is more pronounced for cardiac strain rate imaging (SRI) since it is very difficult to confine cardiac motion to a single image plane. Here, we present a 3-D correlation-based speckle tracking algorithm. Conceptually, 3-D speckle tracking is just an extension of 2-D phase-sensitive correlation-based speckle tracking. However, due to its high computational cost, optimization schemes, such as dynamic programming, decimation and two-path processing, are introduced to reduce the computational burden. To evaluate the proposed approach, a 3-D bar phantom under uniaxial compression was simulated for benchmark tests. A more sophisticated 3-D simulation of the left ventricle of the heart was also made to test the applicability of 3-D speckle tracking in cardiac SRI. Results from both simulations clearly demonstrated the feasibility of 3-D correlation-based speckle tracking. With the ability to follow 3-D speckle in 3-D space, 3-D speckle tracking outperforms lower-dimensional speckle tracking by minimizing decorrelation caused by pure elevational translation. In other words, 3-D tracking can push toward solely deformation-limited, decorrelation-optimized speckle tracking. Hardware implementation of the proposed 3-D speckle tracking algorithm using field programmable gate arrays (FPGA) is also discussed.

Mesh:

Year:  2005        PMID: 16003924     DOI: 10.1177/016173460502700102

Source DB:  PubMed          Journal:  Ultrason Imaging        ISSN: 0161-7346            Impact factor:   1.578


  32 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.  Three-dimensional echocardiographic quantitative evaluation of left ventricular diastolic function using analysis of chamber volume and myocardial deformation.

Authors:  Chattanong Yodwut; Roberto M Lang; Lynn Weinert; Homaa Ahmad; Victor Mor-Avi
Journal:  Int J Cardiovasc Imaging       Date:  2012-06-30       Impact factor: 2.357

3.  Volumetric elasticity imaging with a 2-D CMUT array.

Authors:  Ted G Fisher; Timothy J Hall; Satchi Panda; Michael S Richards; Paul E Barbone; Jingfeng Jiang; Jeff Resnick; Steve Barnes
Journal:  Ultrasound Med Biol       Date:  2010-06       Impact factor: 2.998

4.  Non-invasive monitoring of tissue scaffold degradation using ultrasound elasticity imaging.

Authors:  Kang Kim; Claire G Jeong; Scott J Hollister
Journal:  Acta Biomater       Date:  2008-02-23       Impact factor: 8.947

5.  A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint.

Authors:  Yun Zhu; Xenophon Papademetris; Albert J Sinusas; James S Duncan
Journal:  Med Image Anal       Date:  2010-03-15       Impact factor: 8.545

6.  Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging.

Authors:  Geng-Shi Jeng; Maria Zontak; Nripesh Parajuli; Allen Lu; Kevinminh Ta; Albert J Sinusas; James S Duncan; Matthew O'Donnell
Journal:  IEEE Access       Date:  2018-03-13       Impact factor: 3.367

7.  A fast normalized cross-correlation calculation method for motion estimation.

Authors:  Jianwen Luo; Elisa Konofagou
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2010-06       Impact factor: 2.725

8.  Preliminary validation of angle-independent myocardial elastography using MR tagging in a clinical setting.

Authors:  Wei-Ning Lee; Zhen Qian; Christina L Tosti; Truman R Brown; Dimitris N Metaxas; Elisa E Konofagou
Journal:  Ultrasound Med Biol       Date:  2008-10-26       Impact factor: 2.998

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.  Fast block flow tracking of atrial septal defects in 4D echocardiography.

Authors:  Marius George Linguraru; Nikolay V Vasilyev; Gerald R Marx; Wayne Tworetzky; Pedro J Del Nido; Robert D Howe
Journal:  Med Image Anal       Date:  2008-01-17       Impact factor: 8.545

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