Effects of important parameters variations on computing eigenspace-based minimum variance weights for ultrasound tissue harmonic imaging

Mehdi Haji Heidari; Moein Mozaffarzadeh; Rayyan Manwar; Mohammadreza Nasiriavanaki

doi:10.1117/12.2291549

22 February 2018 Effects of important parameters variations on computing eigenspace-based minimum variance weights for ultrasound tissue harmonic imaging

Mehdi Haji Heidari, Moein Mozaffarzadeh, Rayyan Manwar, Mohammadreza Nasiriavanaki

Author Affiliations +

Proceedings Volume 10494, Photons Plus Ultrasound: Imaging and Sensing 2018; 104946R (2018) https://doi.org/10.1117/12.2291549
Event: SPIE BiOS, 2018, San Francisco, California, United States

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.

Citation Download Citation

Mehdi Haji Heidari, Moein Mozaffarzadeh, Rayyan Manwar, and Mohammadreza Nasiriavanaki "Effects of important parameters variations on computing eigenspace-based minimum variance weights for ultrasound tissue harmonic imaging", Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104946R (22 February 2018); https://doi.org/10.1117/12.2291549

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