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Ultrafast Synthetic Transmit Aperture Imaging Using Hadamard-Encoded Virtual Sources With Overlapping Sub-Apertures.

Publication ,  Journal Article
Ping Gong; Pengfei Song; Shigao Chen
Published in: IEEE transactions on medical imaging
June 2017

The development of ultrafast ultrasound imaging offers great opportunities to improve imaging technologies, such as shear wave elastography and ultrafast Doppler imaging. In ultrafast imaging, there are tradeoffs among image signal-to-noise ratio (SNR), resolution, and post-compounded frame rate. Various approaches have been proposed to solve this tradeoff, such as multiplane wave imaging or the attempts of implementing synthetic transmit aperture imaging. In this paper, we propose an ultrafast synthetic transmit aperture (USTA) imaging technique using Hadamard-encoded virtual sources with overlapping sub-apertures to enhance both image SNR and resolution without sacrificing frame rate. This method includes three steps: 1) create virtual sources using sub-apertures; 2) encode virtual sources using Hadamard matrix; and 3) add short time intervals (a few microseconds) between transmissions of different virtual sources to allow overlapping sub-apertures. The USTA was tested experimentally with a point target, a B-mode phantom, and in vivo human kidney micro-vessel imaging. Compared with standard coherent diverging wave compounding with the same frame rate, improvements on image SNR, lateral resolution (+33%, with B-mode phantom imaging), and contrast ratio (+3.8 dB, with in vivo human kidney micro-vessel imaging) have been achieved. The f-number of virtual sources, the number of virtual sources used, and the number of elements used in each sub-aperture can be flexibly adjusted to enhance resolution and SNR. This allows very flexible optimization of USTA for different applications.

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Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

June 2017

Volume

36

Issue

6

Start / End Page

1372 / 1381

Related Subject Headings

  • Ultrasonography
  • Time Factors
  • Signal-To-Noise Ratio
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Humans
  • 46 Information and computing sciences
  • 40 Engineering
  • 09 Engineering
  • 08 Information and Computing Sciences
 

Citation

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Ping Gong, Pengfei Song, & Shigao Chen. (2017). Ultrafast Synthetic Transmit Aperture Imaging Using Hadamard-Encoded Virtual Sources With Overlapping Sub-Apertures. IEEE Transactions on Medical Imaging, 36(6), 1372–1381. https://doi.org/10.1109/tmi.2017.2687400
Ping Gong, Pengfei Song, and Shigao Chen. “Ultrafast Synthetic Transmit Aperture Imaging Using Hadamard-Encoded Virtual Sources With Overlapping Sub-Apertures.IEEE Transactions on Medical Imaging 36, no. 6 (June 2017): 1372–81. https://doi.org/10.1109/tmi.2017.2687400.
Ping Gong, Pengfei Song, Shigao Chen. Ultrafast Synthetic Transmit Aperture Imaging Using Hadamard-Encoded Virtual Sources With Overlapping Sub-Apertures. IEEE transactions on medical imaging. 2017 Jun;36(6):1372–81.
Ping Gong, et al. “Ultrafast Synthetic Transmit Aperture Imaging Using Hadamard-Encoded Virtual Sources With Overlapping Sub-Apertures.IEEE Transactions on Medical Imaging, vol. 36, no. 6, June 2017, pp. 1372–81. Epmc, doi:10.1109/tmi.2017.2687400.
Ping Gong, Pengfei Song, Shigao Chen. Ultrafast Synthetic Transmit Aperture Imaging Using Hadamard-Encoded Virtual Sources With Overlapping Sub-Apertures. IEEE transactions on medical imaging. 2017 Jun;36(6):1372–1381.

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

June 2017

Volume

36

Issue

6

Start / End Page

1372 / 1381

Related Subject Headings

  • Ultrasonography
  • Time Factors
  • Signal-To-Noise Ratio
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Humans
  • 46 Information and computing sciences
  • 40 Engineering
  • 09 Engineering
  • 08 Information and Computing Sciences