English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In recent years, the minimum variance (MV) beamforming has been widelystudied due to its high resolution and contrast in B-mode Ultrasound imaging(USI). However, the performance of the MV beamformer is degraded at thepresence of noise, as a result of the inaccurate covariance matrix estimationwhich leads to a low quality image. Second harmonic imaging (SHI) provides manyadvantages over the conventional pulse-echo USI, such as enhanced axial andlateral resolutions. However, the low signal-to-noise ratio (SNR) is a majorproblem in SHI. In this paper, Eigenspace-based minimum variance (EIBMV)beamformer has been employed for second harmonic USI. The Tissue HarmonicImaging (THI) is achieved by Pulse Inversion (PI) technique. Using the EIBMVweights, instead of the MV ones, would lead to reduced sidelobes and improvedcontrast, without compromising the high resolution of the MV beamformer (evenat the presence of a strong noise). In addition, we have investigated theeffects of variations of the important parameters in computing EIBMV weights,i.e., K, L, and {\delta}, on the resolution and contrast obtained in SHI. Theresults are evaluated using numerical data (using point target and cystphantoms), and the proper parameters of EIBMV are indicated for THI.

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