Literature DB >> 28458062

Experimental performance assessment of the sub-band minimum variance beamformer for ultrasound imaging.

Konstantinos Diamantis1, Alan Greenaway1, Tom Anderson2, Jørgen Arendt Jensen3, Vassilis Sboros4.   

Abstract

Recent progress in adaptive beamforming techniques for medical ultrasound has shown that current resolution limits can be surpassed. One method of obtaining improved lateral resolution is the Minimum Variance (MV) beamformer. The frequency domain implementation of this method effectively divides the broadband ultrasound signals into sub-bands (MVS) to conform with the narrow-band assumption of the original MV theory. This approach is investigated here using experimental Synthetic Aperture (SA) data from wire and cyst phantoms. A 7MHz linear array transducer is used with the SARUS experimental ultrasound scanner for the data acquisition. The lateral resolution and the contrast obtained, are evaluated and compared with those from the conventional Delay-and-Sum (DAS) beamformer and the MV temporal implementation (MVT). From the wire phantom the Full-Width-at-Half-Maximum (FWHM) measured at a depth of 52mm, is 16.7μm (0.08λ) for both MV methods, while the corresponding values for the DAS case are at least 24 times higher. The measured Peak-Side-lobe-Level (PSL) may reach -41dB using the MVS approach, while the values from the DAS and MVT beamforming are above -24dB and -33dB, respectively. From the cyst phantom, the power ratio (PR), the contrast-to-noise ratio (CNR), and the speckle signal-to-noise ratio (sSNR) measured at a depth of 30mm are at best similar for MVS and DAS, with values ranging between -29dB and -30dB, 1.94 and 2.05, and 2.16 and 2.27 respectively. In conclusion the MVS beamformer is not suitable for imaging continuous targets, and significant resolution gains were obtained only for isolated targets.
Copyright © 2017. Published by Elsevier B.V.

Keywords:  Experimental performance; Micrometre lateral resolution; Minimum variance beamformer; Sub-band processing

Year:  2017        PMID: 28458062     DOI: 10.1016/j.ultras.2017.04.011

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  2 in total

1.  Minimum variance beamforming combined with covariance matrix-based adaptive weighting for medical ultrasound imaging.

Authors:  Yuanguo Wang; Yadan Wang; Mingzhou Liu; Zhengfeng Lan; Chichao Zheng; Hu Peng
Journal:  Biomed Eng Online       Date:  2022-06-18       Impact factor: 3.903

2.  Sub-wavelength lateral detection of tissue-approximating masses using an ultrasonic metamaterial lens.

Authors:  Ezekiel L Walker; Yuqi Jin; Delfino Reyes; Arup Neogi
Journal:  Nat Commun       Date:  2020-11-24       Impact factor: 14.919

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.