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Imaging transverse isotropic properties of muscle by monitoring acoustic radiation force induced shear waves using a 2-D matrix ultrasound array.

Publication ,  Journal Article
Wang, M; Byram, B; Palmeri, M; Rouze, N; Nightingale, K
Published in: IEEE transactions on medical imaging
September 2013

A 2-D matrix ultrasound array is used to monitor acoustic radiation force impulse (ARFI) induced shear wave propagation in 3-D in excised canine muscle. From a single acquisition, both the shear wave phase and group velocity can be calculated to estimate the shear wave speed (SWS) along and across the fibers, as well as the fiber orientation in 3-D. The true fiber orientation found using the 3-D radon transform on B-mode volumes of the muscle was used to verify the fiber direction estimated from shear wave data. For the simplified imaging case when the ARFI push can be oriented perpendicular to the fibers, the error in estimating the fiber orientation using phase and group velocity measurements was 3.5 ± 2.6° and 3.4 ± 1.4° (mean ± standard deviation), respectively, over six acquisitions in different muscle samples. For the more general case when the push is oblique to the fibers, the angle between the push and the fibers is found using the dominant orientation of the shear wave displacement magnitude. In 30 acquisitions on six different muscle samples with oblique push angles up to 40°, the error in the estimated fiber orientation using phase and group velocity measurements was 5.4 ± 2.9° and 5.3 ± 3.2°, respectively, after estimating and accounting for the additional unknown push angle. Either the phase or group velocity measurements can be used to estimate fiber orientation and SWS along and across the fibers. Although it is possible to perform these measurements when the push is not perpendicular to the fibers, highly oblique push angles induce lower shear wave amplitudes which can cause inaccurate SWS measurements.

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Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

September 2013

Volume

32

Issue

9

Start / End Page

1671 / 1684

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • Muscle, Skeletal
  • Image Processing, Computer-Assisted
  • Elasticity Imaging Techniques
  • Dogs
  • Animals
  • Algorithms
  • 46 Information and computing sciences
  • 40 Engineering
  • 09 Engineering
 

Citation

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Wang, M., Byram, B., Palmeri, M., Rouze, N., & Nightingale, K. (2013). Imaging transverse isotropic properties of muscle by monitoring acoustic radiation force induced shear waves using a 2-D matrix ultrasound array. IEEE Transactions on Medical Imaging, 32(9), 1671–1684. https://doi.org/10.1109/tmi.2013.2262948
Wang, Michael, Brett Byram, Mark Palmeri, Ned Rouze, and Kathryn Nightingale. “Imaging transverse isotropic properties of muscle by monitoring acoustic radiation force induced shear waves using a 2-D matrix ultrasound array.IEEE Transactions on Medical Imaging 32, no. 9 (September 2013): 1671–84. https://doi.org/10.1109/tmi.2013.2262948.
Wang M, Byram B, Palmeri M, Rouze N, Nightingale K. Imaging transverse isotropic properties of muscle by monitoring acoustic radiation force induced shear waves using a 2-D matrix ultrasound array. IEEE transactions on medical imaging. 2013 Sep;32(9):1671–84.
Wang, Michael, et al. “Imaging transverse isotropic properties of muscle by monitoring acoustic radiation force induced shear waves using a 2-D matrix ultrasound array.IEEE Transactions on Medical Imaging, vol. 32, no. 9, Sept. 2013, pp. 1671–84. Epmc, doi:10.1109/tmi.2013.2262948.
Wang M, Byram B, Palmeri M, Rouze N, Nightingale K. Imaging transverse isotropic properties of muscle by monitoring acoustic radiation force induced shear waves using a 2-D matrix ultrasound array. IEEE transactions on medical imaging. 2013 Sep;32(9):1671–1684.

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

September 2013

Volume

32

Issue

9

Start / End Page

1671 / 1684

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • Muscle, Skeletal
  • Image Processing, Computer-Assisted
  • Elasticity Imaging Techniques
  • Dogs
  • Animals
  • Algorithms
  • 46 Information and computing sciences
  • 40 Engineering
  • 09 Engineering