Combining the APES and Minimum-variance Beamformers for Adaptive Ultrasound Imaging.

Abstract:

:In recent years, adaptive minimum-variance (MV) beamforming has been successfully applied to medical ultrasound imaging, resulting in simultaneous improvement in imaging resolution and contrast. MV has high resolution and hence can provide accurate estimates of the target locations. However, the MV amplitude estimates are significantly biased downward, especially when occurring the errors in model parameters. The amplitude and phase estimation (APES) beamformer gives much more accurate amplitude estimates at the target locations, but at the cost of lower resolution. To reap the benefits of both MV and APES, we have proposed a modified APES (MAPES) beamformer by adding a parameter which controls the trade-off between spatial and amplitude resolutions. We have also proposed an adaptive beamformer which combines the MV and APES. The proposed beamformer first estimates the peak locations using the MV estimator and then refines the amplitude estimates at these locations using the MAPES estimator. By using simulated and experimental data-point targets as well as cyst phantoms-we show the efficacy of the proposed beamformers.

journal_name

Ultrason Imaging

journal_title

Ultrasonic imaging

authors

Mohammadzadeh Asl B

doi

10.1177/0161734615600167

subject

Has Abstract

pub_date

2016-07-01 00:00:00

pages

239-53

issue

4

eissn

0161-7346

issn

1096-0910

pii

0161734615600167

journal_volume

38

pub_type

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