OPTIMIZED 2D ARRAY DESIGN FOR ULTRASOUND IMAGING

Conference proceedings article

Authors / Editors

Diarra, Bakary

Research Areas

No matching items found.

Publication Details

Author list: Diarra B, Liebgott H, Robini M, Tortoli P, Cachard C

Place: LOS ALAMITOS

Publication year: 2012

Journal: 2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) (2076-1465)

Journal acronym: EUR SIGNAL PR CONF

Start page: 2718

End page: 2722

Number of pages: 5

eISBN: 978-1-4673-1068-0

ISSN: 2076-1465

Languages: English-Great Britain (EN-GB)

View in Web of Science | View citing articles in Web of Science

Abstract

Ultrasound imaging is one of the least expensive and safest diagnostic modalities routinely used. An attractive recent development in this field is three-dimensional (3D) imaging with two-dimensional (2D) matrix probes. The difficulty in implementing these probes comes from their large number of elements; for instance, the probe considered in this paper is composed of 1024 elements, whereas the number of channels of most current beamformers ranges from 64 to 256. To reduce the number of active elements, we propose a new sparse array design technique based on simulated annealing. Our method is capable of significantly reducing the number of probe elements as well as the side lobe level in a reasonable amount of computing time. Experiments in the context of hepatic biopsy show that good imaging performance can be obtained with only 177 active elements out of the total of 1024.

Keywords

2D array, simulated annealing, sparse array, ultrasound

Documents