Effects of Important Parameters Variations on Computing Eigenspace-Based Minimum Variance Weights for Ultrasound Tissue Harmonic Imaging

Effects of Important Parameters Variations on Computing Eigenspace-Based Minimum Variance Weights for Ultrasound Tissue Harmonic Imaging Publisher

Haji Heidari M¹ ; Mozaffarzadeh M^{1, 2} ; Manwar R³ ; Nasiriavanaki M³

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1. Department of Biomedical Engineering, Tarbiat Modares University, Tehran, Iran
2. Research Center for Biomedical Technologies and Robotics, Institute for Advanced Medical Technologies, Tehran, Iran
3. Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States

Source: Progress in Biomedical Optics and Imaging - Proceedings of SPIE Published:2018

Abstract

In recent years, the minimum variance (MV) beamforming has been widely studied due to its high resolution and contrast in B-mode Ultrasound imaging (USI). However, the performance of the MV beamformer is degraded at the presence of noise, as a result of the inaccurate covariance matrix estimation which leads to a low quality image. Second harmonic imaging (SHI) provides many advantages over the conventional pulse-echo USI, such as enhanced axial and lateral resolutions. However, the low signal-to-noise ratio (SNR) is a major problem in SHI. In this paper, Eigenspace-based minimum variance (EIBMV) beamformer has been employed for second harmonic USI. The Tissue Harmonic Imaging (THI) is achieved by Pulse Inversion (PI) technique. Using the EIBMV weights, instead of the MV ones, would lead to reduced sidelobes and improved contrast, without compromising the high resolution of the MV beamformer (even at the presence of a strong noise). In addition, we have investigated the effects of variations of the important parameters in computing EIBMV weights, i.e., K, L, and δ, on the resolution and contrast obtained in SHI. The results are evaluated using numerical data (using point target and cyst phantoms), and the proper parameters of EIBMV are indicated for THI. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

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Experts (# of related papers)

Bahador Makkiabadi (4)

Alireza Mir Bagheri (1)

Style	Citing Format
MLA	Haji Heidari M, et al.. "Effects of Important Parameters Variations on Computing Eigenspace-Based Minimum Variance Weights for Ultrasound Tissue Harmonic Imaging." Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10494, no. , 2018, pp. -.
APA	Haji Heidari M, Mozaffarzadeh M, Manwar R, Nasiriavanaki M (2018). Effects of Important Parameters Variations on Computing Eigenspace-Based Minimum Variance Weights for Ultrasound Tissue Harmonic Imaging. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 10494(), -.
Chicago	Haji Heidari M, Mozaffarzadeh M, Manwar R, Nasiriavanaki M. "Effects of Important Parameters Variations on Computing Eigenspace-Based Minimum Variance Weights for Ultrasound Tissue Harmonic Imaging." Progress in Biomedical Optics and Imaging - Proceedings of SPIE 10494, no. (2018): -.
Harvard	Haji Heidari M et al. (2018) 'Effects of Important Parameters Variations on Computing Eigenspace-Based Minimum Variance Weights for Ultrasound Tissue Harmonic Imaging', Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 10494(), pp. -.
Vancouver	Haji Heidari M, Mozaffarzadeh M, Manwar R, Nasiriavanaki M. Effects of Important Parameters Variations on Computing Eigenspace-Based Minimum Variance Weights for Ultrasound Tissue Harmonic Imaging. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2018;10494():-.
BibTex	@article{ author = {Haji Heidari M and Mozaffarzadeh M and Manwar R and Nasiriavanaki M}, title = {Effects of Important Parameters Variations on Computing Eigenspace-Based Minimum Variance Weights for Ultrasound Tissue Harmonic Imaging}, journal = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE}, volume = {10494}, number = {}, pages = {-}, year = {2018} }
RIS	TY - JOUR AU - Haji Heidari M AU - Mozaffarzadeh M AU - Manwar R AU - Nasiriavanaki M TI - Effects of Important Parameters Variations on Computing Eigenspace-Based Minimum Variance Weights for Ultrasound Tissue Harmonic Imaging JO - Progress in Biomedical Optics and Imaging - Proceedings of SPIE VL - 10494 IS - SP - EP - PY - 2018 ER -

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