2019Unpublished venueRequires access

Recent Developments in Adaptive Beamforming

Hideyuki Hasegawa

Open publisher page 3 citations

Abstract

Beamforming is an indispensable process to obtain an ultrasound image. In most of clinical ultrasound systems, the delay-and-sum (DAS) beamformer is implemented. The DAS beamformer applies time delays to ultrasonic echo signals received by individual transducer elements in an ultrasonic probe so that the phases of echoes from a point at the focus are aligned and, then, the delay compensated signals are summed to enhance the echo signal from the focal point. The DAS beamformer is very computationally efficient and suitable for real-time processing. On the other hand, its ability in suppression of off-axis signals is limited. To improve the performance of ultrasound beamformers, various studies on adaptive beamformers have been conducted for a long time and still being continuing nowadays. This paper provides a brief review on adaptive beamformers, particularly on the coherence-based adaptive imaging and its relation to the minimum variance beamforming.

About this research paper

What this paper is about

Beamforming is an indispensable process to obtain an ultrasound image. In most of clinical ultrasound systems, the delay-and-sum (DAS) beamformer is implemented. The DAS beamformer applies time delays to ultrasonic echo signals received by individual transducer elements in an ultrasonic probe so that the phases of echoes from a point at the focus are aligned and, then, the delay compensated signals are summed to enhance the echo signal from the focal point. The DAS beamformer is very computationally efficient and suitable for real-time processing. On the other hand, its ability in suppression of off-axis signals is limited. To improve the performance of ultrasound beamformers, various studies on adaptive beamformers have been conducted for a long time and still being continuing nowadays. This paper provides a brief review on adaptive beamformers, particularly on the coherence-based adaptive imaging and its relation to the minimum variance beamforming.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Beamforming is an indispensable process to obtain an ultrasound image. In most of clinical ultrasound systems, the delay-and-sum (DAS) beamformer is implemented. The DAS beamformer applies time delays to ultrasonic echo signals received by individual transducer elements in an ultrasonic probe so that the phases of echoes from a point at the focus are aligned and, then, the delay compensated signals are summed to enhance the echo signal from the focal point. The DAS beamformer is very computationally efficient and suitable for real-time processing. On the other hand, its ability in suppression of off-axis signals is limited. To improve the performance of ultrasound beamformers, various studies on adaptive beamformers have been conducted for a long time and still being continuing nowadays. This paper provides a brief review on adaptive beamformers, particularly on the coherence-based adaptive imaging and its relation to the minimum variance beamforming.

Key concepts: Beamforming, Adaptive beamformer, Computer science, SIGNAL (programming language), Coherence (philosophical gambling strategy), Ultrasonic sensor, Focal point, Transducer

Related papers

Back to paper searchBrowse research topicsOriginal source
Recent Developments in Adaptive Beamforming — Research Paper | ScholarLens