Literature DB >> 19251519

The effect of including myocardial anisotropy in simulated ultrasound images of the heart.

Jonas Crosby1, Torbjørn Hergum, Espen W Remme, Hans Torp.   

Abstract

We have examined the effect of incorporating tissue anisotropy in simulated ultrasound images of the heart. In simulation studies, the cardiac muscle (myocardium) is usually modeled as a cloud of uncorrelated point scatterers. Although this approach successfully generates a realistic speckle pattern, it fails to reproduce any effects of image anisotropy seen in real ultrasound images. We hypothesize that some of this effect is caused by the varying orientation of anisotropic myocardial structures relative to the ultrasonic beam and that this can be taken into account in simulations by imposing an angle dependent correlation of the scatterer points. Ultrasound images of a porcine heart were obtained in vitro, and the dominating fiber directions were estimated from the insonification angles that gave rise to the highest backscatter intensities. A cylindrical sample of the myocardium was then modeled as a grid of point scatterers correlated in the principal directions of the muscle fibers, as determined experimentally. Ultrasound images of the model were simulated by using a fast k-space based convolution approach, and the results were compared with the in vitro recordings. The simulated images successfully reproduced the insonification dependent through-wall distribution of backscatter intensities in the myocardial sample, as well as a realistic speckle pattern.

Mesh:

Year:  2009        PMID: 19251519     DOI: 10.1109/TUFFC.2009.1041

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  10 in total

1.  Simulating cardiac ultrasound image based on MR diffusion tensor imaging.

Authors:  Xulei Qin; Silun Wang; Ming Shen; Guolan Lu; Xiaodong Zhang; Mary B Wagner; Baowei Fei
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

2.  Measuring myofiber orientations from high-frequency ultrasound images using multiscale decompositions.

Authors:  Xulei Qin; Baowei Fei
Journal:  Phys Med Biol       Date:  2014-06-24       Impact factor: 3.609

3.  DTI template-based estimation of cardiac fiber orientations from 3D ultrasound.

Authors:  Xulei Qin; Baowei Fei
Journal:  Med Phys       Date:  2015-06       Impact factor: 4.071

4.  Extracting Cardiac Myofiber Orientations from High Frequency Ultrasound Images.

Authors:  Xulei Qin; Zhibin Cong; Rong Jiang; Ming Shen; Mary B Wagner; Paul Kishbom; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-29

5.  Imaging technologies for cardiac fiber and heart failure: a review.

Authors:  Shana R Watson; James D Dormer; Baowei Fei
Journal:  Heart Fail Rev       Date:  2018-03       Impact factor: 4.214

6.  Accuracy and reproducibility of strain by speckle tracking in pediatric subjects with normal heart and single ventricular physiology: a two-dimensional speckle-tracking echocardiography and magnetic resonance imaging correlative study.

Authors:  Gautam K Singh; Brian Cupps; Michael Pasque; Pamela K Woodard; Mark R Holland; Achiau Ludomirsky
Journal:  J Am Soc Echocardiogr       Date:  2010-09-18       Impact factor: 5.251

7.  Echocardiographic tissue characterization demonstrates differences in the left and right sides of the ventricular septum.

Authors:  Mark R Holland; Allyson A Gibson; Adam Q Bauer; Linda R Peterson; Jean E Schaffer; Richard G Bach; Sharon Cresci; James G Miller
Journal:  Ultrasound Med Biol       Date:  2010-10       Impact factor: 2.998

8.  Mapping Cardiac Fiber Orientations from High-Resolution DTI to High-Frequency 3D Ultrasound.

Authors:  Xulei Qin; Silun Wang; Ming Shen; Xiaodong Zhang; Mary B Wagner; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-12

Review 9.  Physiological basis in the assessment of myocardial mechanics using speckle-tracking echocardiography 2D. Part I.

Authors:  Wojciech Mądry; Maciej Aleksander Karolczak
Journal:  J Ultrason       Date:  2016-06-29

Review 10.  Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use.

Authors:  Gianni Pedrizzetti; Piet Claus; Philip J Kilner; Eike Nagel
Journal:  J Cardiovasc Magn Reson       Date:  2016-08-26       Impact factor: 5.364

  10 in total

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