Call for Paper - November 2022 Edition
IJCA solicits original research papers for the November 2022 Edition. Last date of manuscript submission is October 20, 2022. Read More

Synthetic Aperture Ultrasound Image Reconstruction

Print
PDF
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 95 - Number 3
Year of Publication: 2014
Authors:
Mawia Ahmed Hassan
10.5120/16574-6259

Mawia Ahmed Hassan. Article: Synthetic Aperture Ultrasound Image Reconstruction. International Journal of Computer Applications 95(3):17-22, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Mawia Ahmed Hassan},
	title = {Article: Synthetic Aperture Ultrasound Image Reconstruction},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {95},
	number = {3},
	pages = {17-22},
	month = {June},
	note = {Full text available}
}

Abstract

In this paper real data was used to test the utility of synthetic aperture (SA) ultrasound imaging to overcome the limitation of conventional ultrasound image which include decreasing the frame rate and single transmit focusing. The images are reconstructed by using different types of transmission and used to test the effect of signal to noise ratio (SNR). The results show that increasing the number of aperture elements improves the SNR. This means that overcoming the problem of low SNR can be achieved by replacing single element transmission by simultaneous excitation of multi-element sub-apertures. 24-tap FIR Hilbert transformed was designed with acceptable normalized RMSE with the analytical form of the signal. The images were reconstructed with and without the FIR Hilbert transform filter. Synthetic aperture imaging is shown to have potential for alleviating the problem of frame rate limitation and single transmit focusing. The results were compared to image reconstructed using linear array image reconstruction. On the other hand, it is also shown to have several problems associated with its practical implementation in terms of penetration depth, flow estimation, and implementation.

References

  • M. Soumekh 1999. Synthetic Aperture Radar Signal Processing with MATLAB Algorithms, John Wiley & Sons, Inc. , New York.
  • J. J. Flaherty, K. R. Erikson, V. M. Lund 1967. Synthetic aperture ultrasound imaging systems. United States Patent, US 3,548-642.
  • C. B. Burckhardt, P-A. Grandchamp, H. Hoffmann 1974. An experimental 2MHz synthetic aperture sonar system intended for medical use. IEEE Trans. Son. Ultrason. 21 (1),1–6.
  • K. Nagai 1985. A new synthetic-aperture focusing method for ultrasonic Bscan imaging by the fourier transform. IEEE Trans. Son. Ultrason. SU-32 (4), 531–536.
  • P. Hoskins, K. Martin, A. Thrush 2010. Diagnostic Ultrasound Physics and Equipment. Cambridge University Press. Cambridge.
  • J. A. Jensen, S. I. Nikolov, K. L. Gammelmark,and M. H. Pedersen 2006. Synthetic aperture ultrasound imaging. Ultrasonics. 44,e5-e15.
  • J. O. Smith 2002. Mathematics of the Discrete Fourier Transform (DFT). Center for Computer Research in Music and Acoustics (CCRMA). Department of Music, Stanford University, Stanford, California.
  • A. V. Oppenheim and R. W. Schafer 1989. Discrete-Time Signal Processing. NJ: Prentice-Hall, Englewood Cliffs.
  • B. G. Tomov and J. A. Jensen 2005. Compact FPGA-Based Beamformer Using Oversampled 1-bit A/D Converters. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol. 52, no. 5, 870-880.
  • S. Sukittanon, S. G. Dame 2005. FIR Filtering in PSoC™ with Application to Fast Hilbert Transform. Cypress Semiconductor Corp. , Cypress Perform.
  • M. O'Donnell and S. W. Flax 1988. Phase-aberration correction using signals from point reflectors and diffuse scatterers: measurements. IEEE Trans. Ultrason. , Ferroelect. , and Freq. Contr. , vol. 35, no. 6,768-774.
  • J. opretzka, M. Vogt and H. Ermert 2011. A high-frequency ultrasound imaging system combining limited-angle spatial compounding and model-based synthetic aperture focusing. IEEE Trans. Ultrason. , Ferroelect. , and Freq. Contr. , vol. 58, no. 7, 1355-1365.
  • Mawia A. H. and Yasser M. . K. 2013. Digital Signal Processing Methodologies for Conventional Digital Medical Ultrasound Imaging System. American Journal of Biomedical Engineering. , vol. 3, no. 1, 14-30.