Sigma-delta receive beamformer based on cascaded reconstruction for ultrasound imaging application
A pre-delay reconstruction sigma-delta beamformer (SDBF) was recently proposed to achieve a higher level of integration in ultrasound imaging systems. Nevertheless, the high-order reconstruction filter used in each channel of SDBF makes the...
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sg-ntu-dr.10356-923882020-03-07T14:02:41Z Sigma-delta receive beamformer based on cascaded reconstruction for ultrasound imaging application Cheong, Jia Hao Lam, Yvonne Ying Hung Tiew, Kei Tee Koh, Liang Mong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering A pre-delay reconstruction sigma-delta beamformer (SDBF) was recently proposed to achieve a higher level of integration in ultrasound imaging systems. Nevertheless, the high-order reconstruction filter used in each channel of SDBF makes the beamformer highly complex. The beamformer can be simplified by reconstructing the signal after the delay-andsum process with only one filter. However, this post-delay reconstruction-based design degrades image quality when dynamic focusing is performed. This paper shows that employing a simple pre-delay filter is sufficient to achieve similar performance as conventional pre-delay reconstruction SDBF, as long as the pre-delay filter provides the required pre-delay signalto- quantization noise ratio (SQNR). Based on this finding, we proposed a cascaded reconstruction beamformer that uses a boxcar filter as the pre-delay filter in each channel. Simulations using real phantom data demonstrate that the proposed beamforming method can achieve a contrast resolution comparable to that of the pre-delay reconstruction beamforming method. In addition, the hardware can be greatly simplified compared with the pre-delay reconstruction beamformers. Published version 2010-05-05T08:58:07Z 2019-12-06T18:22:28Z 2010-05-05T08:58:07Z 2019-12-06T18:22:28Z 2008 2008 Journal Article Cheong, J. H., Lam, Y. H., Tiew, K. T., & Koh, L. M. (2008) Sigma-delta receive beamformer based on cascaded reconstruction for ultrasound imaging application. IEEE Transactions on Ultrasonics, Feroelectrics, and Frequency Control. 55(9), 1935-1946. 0885-3010 https://hdl.handle.net/10356/92388 http://hdl.handle.net/10220/6268 10.1109/TUFFC.885 en IEEE transactions on ultrasonics, feroelectrics, and frequency control © 20098IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. 12 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Cheong, Jia Hao Lam, Yvonne Ying Hung Tiew, Kei Tee Koh, Liang Mong Sigma-delta receive beamformer based on cascaded reconstruction for ultrasound imaging application |
description |
A pre-delay reconstruction sigma-delta beamformer
(SDBF) was recently proposed to achieve a higher level
of integration in ultrasound imaging systems. Nevertheless, the
high-order reconstruction filter used in each channel of SDBF
makes the beamformer highly complex. The beamformer can
be simplified by reconstructing the signal after the delay-andsum
process with only one filter. However, this post-delay
reconstruction-based design degrades image quality when dynamic
focusing is performed. This paper shows that employing
a simple pre-delay filter is sufficient to achieve similar performance
as conventional pre-delay reconstruction SDBF, as long
as the pre-delay filter provides the required pre-delay signalto-
quantization noise ratio (SQNR). Based on this finding, we
proposed a cascaded reconstruction beamformer that uses a
boxcar filter as the pre-delay filter in each channel. Simulations
using real phantom data demonstrate that the proposed beamforming
method can achieve a contrast resolution comparable
to that of the pre-delay reconstruction beamforming method.
In addition, the hardware can be greatly simplified compared
with the pre-delay reconstruction beamformers. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Cheong, Jia Hao Lam, Yvonne Ying Hung Tiew, Kei Tee Koh, Liang Mong |
format |
Article |
author |
Cheong, Jia Hao Lam, Yvonne Ying Hung Tiew, Kei Tee Koh, Liang Mong |
author_sort |
Cheong, Jia Hao |
title |
Sigma-delta receive beamformer based on cascaded reconstruction for ultrasound imaging application |
title_short |
Sigma-delta receive beamformer based on cascaded reconstruction for ultrasound imaging application |
title_full |
Sigma-delta receive beamformer based on cascaded reconstruction for ultrasound imaging application |
title_fullStr |
Sigma-delta receive beamformer based on cascaded reconstruction for ultrasound imaging application |
title_full_unstemmed |
Sigma-delta receive beamformer based on cascaded reconstruction for ultrasound imaging application |
title_sort |
sigma-delta receive beamformer based on cascaded reconstruction for ultrasound imaging application |
publishDate |
2010 |
url |
https://hdl.handle.net/10356/92388 http://hdl.handle.net/10220/6268 |
_version_ |
1681043957162704896 |