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Comparing myocardial shear wave propagation velocity estimation methods based on tissue displacement, velocity and acceleration data

(2022) ULTRASOUND IN MEDICINE AND BIOLOGY. 48(11). p.2207-2216
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Abstract
Shear wave elastography (SWE) is a promising technique used to assess cardiac function through the evaluation of cardiac stiffness non-invasively. However, in the literature, SWE varies in terms of tissue motion data (displacement, velocity or acceleration); method used to characterize mechanical wave propagation (time domain [TD] vs. frequency domain [FD]); and the metric reported (wave speed [WS], shear or Young's modulus). This variety of reported methodologies complicates comparison of reported findings and sheds doubt on which methodology better approximates the true myocardial properties. We therefore conducted a simulation study to investigate the accuracy of various SWE data analysis approaches while varying cardiac geometry and stiffness. Lower WS values were obtained by the TD method compared with the FD method. Acceleration-based WS esti-mates in the TD were systematically larger than those based on velocity (>> 10% difference). These observations were confirmed by TD analysis of 32 in vivo SWE mechanical wave measurements. In vivo data quality is typi-cally too low for accurate FD analysis. Therefore, our study suggests using acceleration-based TD analysis for in vivo SWE to minimize underestimation of the true WS and, thus, to maximize the sensitivity of SWE to detect stiffness changes resulting from pathology. (E-mail: ekaterina.seliverstova@kuleuven.be)(c) 2022 World Federation for Ultrasound in Medicine & Biology. All rights reserved.
Keywords
Acoustics and Ultrasonics, Radiology, Nuclear Medicine and imaging, Biophysics, Radiological and Ultrasound Technology, Cardiac imaging, Shear wave elastography, Ultrasound tissue, Doppler imaging, Fourier analysis, VISCOELASTIC PROPERTIES, RADIATION FORCE, ELASTOGRAPHY, FIBROSIS, FREQUENCY, PHANTOMS

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MLA
Seliverstova, Ekaterina, et al. “Comparing Myocardial Shear Wave Propagation Velocity Estimation Methods Based on Tissue Displacement, Velocity and Acceleration Data.” ULTRASOUND IN MEDICINE AND BIOLOGY, vol. 48, no. 11, 2022, pp. 2207–16, doi:10.1016/j.ultrasmedbio.2022.06.003.
APA
Seliverstova, E., Caenen, A., Bézy, S., Nooijens, S., Voigt, J.-U., & D’hooge, J. (2022). Comparing myocardial shear wave propagation velocity estimation methods based on tissue displacement, velocity and acceleration data. ULTRASOUND IN MEDICINE AND BIOLOGY, 48(11), 2207–2216. https://doi.org/10.1016/j.ultrasmedbio.2022.06.003
Chicago author-date
Seliverstova, Ekaterina, Annette Caenen, Stephanie Bézy, Sjoerd Nooijens, Jens-Uwe Voigt, and Jan D’hooge. 2022. “Comparing Myocardial Shear Wave Propagation Velocity Estimation Methods Based on Tissue Displacement, Velocity and Acceleration Data.” ULTRASOUND IN MEDICINE AND BIOLOGY 48 (11): 2207–16. https://doi.org/10.1016/j.ultrasmedbio.2022.06.003.
Chicago author-date (all authors)
Seliverstova, Ekaterina, Annette Caenen, Stephanie Bézy, Sjoerd Nooijens, Jens-Uwe Voigt, and Jan D’hooge. 2022. “Comparing Myocardial Shear Wave Propagation Velocity Estimation Methods Based on Tissue Displacement, Velocity and Acceleration Data.” ULTRASOUND IN MEDICINE AND BIOLOGY 48 (11): 2207–2216. doi:10.1016/j.ultrasmedbio.2022.06.003.
Vancouver
1.
Seliverstova E, Caenen A, Bézy S, Nooijens S, Voigt J-U, D’hooge J. Comparing myocardial shear wave propagation velocity estimation methods based on tissue displacement, velocity and acceleration data. ULTRASOUND IN MEDICINE AND BIOLOGY. 2022;48(11):2207–16.
IEEE
[1]
E. Seliverstova, A. Caenen, S. Bézy, S. Nooijens, J.-U. Voigt, and J. D’hooge, “Comparing myocardial shear wave propagation velocity estimation methods based on tissue displacement, velocity and acceleration data,” ULTRASOUND IN MEDICINE AND BIOLOGY, vol. 48, no. 11, pp. 2207–2216, 2022.
@article{8767535,
  abstract     = {{Shear wave elastography (SWE) is a promising technique used to assess cardiac function through the evaluation of cardiac stiffness non-invasively. However, in the literature, SWE varies in terms of tissue motion data (displacement, velocity or acceleration); method used to characterize mechanical wave propagation (time domain [TD] vs. frequency domain [FD]); and the metric reported (wave speed [WS], shear or Young's modulus). This variety of reported methodologies complicates comparison of reported findings and sheds doubt on which methodology better approximates the true myocardial properties. We therefore conducted a simulation study to investigate the accuracy of various SWE data analysis approaches while varying cardiac geometry and stiffness. Lower WS values were obtained by the TD method compared with the FD method. Acceleration-based WS esti-mates in the TD were systematically larger than those based on velocity (>> 10% difference). These observations were confirmed by TD analysis of 32 in vivo SWE mechanical wave measurements. In vivo data quality is typi-cally too low for accurate FD analysis. Therefore, our study suggests using acceleration-based TD analysis for in vivo SWE to minimize underestimation of the true WS and, thus, to maximize the sensitivity of SWE to detect stiffness changes resulting from pathology. (E-mail: ekaterina.seliverstova@kuleuven.be)(c) 2022 World Federation for Ultrasound in Medicine & Biology. All rights reserved.}},
  author       = {{Seliverstova, Ekaterina and Caenen, Annette and Bézy, Stephanie and Nooijens, Sjoerd and Voigt, Jens-Uwe and D'hooge, Jan}},
  issn         = {{0301-5629}},
  journal      = {{ULTRASOUND IN MEDICINE AND BIOLOGY}},
  keywords     = {{Acoustics and Ultrasonics,Radiology,Nuclear Medicine and imaging,Biophysics,Radiological and Ultrasound Technology,Cardiac imaging,Shear wave elastography,Ultrasound tissue,Doppler imaging,Fourier analysis,VISCOELASTIC PROPERTIES,RADIATION FORCE,ELASTOGRAPHY,FIBROSIS,FREQUENCY,PHANTOMS}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{2207--2216}},
  title        = {{Comparing myocardial shear wave propagation velocity estimation methods based on tissue displacement, velocity and acceleration data}},
  url          = {{http://doi.org/10.1016/j.ultrasmedbio.2022.06.003}},
  volume       = {{48}},
  year         = {{2022}},
}

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