1D- and 2D-Sparse-Array-Optimization

3D-ultrasonic imaging can be achieved by steering conventional single-element-scanners (pseudo-3D-imaging). The use of 2-D-arrays offers a wide range of possibilities which will lead beyond the limitations of pseudo-3D-imaging. The introduction to market of a high-end ultrasonic device for real 3D-i...

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Bibliographic Details
Published in:Instrumentation science & technology Vol. 27; no. 4; pp. 235 - 246
Main Authors: Weber, P. K., Austeng, A., Holm, S., Aakvaak, N.
Format: Journal Article Conference Proceeding
Language:English
Published: Philadelphia, PA Taylor & Francis Group 01.09.1999
Taylor & Francis
Subjects:
Acoustic signal processing
Acoustics
Computers in experimental physics
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Image processing
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Physics
Ultrasonic imaging
Algorithm performance
Image processing
Genetic algorithm
Signal processing
Tridimensional image
Acoustic image
Acoustic method
Medical application
Optimization
ISSN:1073-9149, 1525-6030
Online Access:Get full text
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Summary:3D-ultrasonic imaging can be achieved by steering conventional single-element-scanners (pseudo-3D-imaging). The use of 2-D-arrays offers a wide range of possibilities which will lead beyond the limitations of pseudo-3D-imaging. The introduction to market of a high-end ultrasonic device for real 3D-imaging was announced for Fall 97. The transducer of this device is a electronically steered and focused 2D-sparse-array which uses only a fraction of the channels required for a fully sampled array. The distribution of the reduced number of channels can be optimized by the use of different methods to achieve acceptable properties for the radiation pattern. An improved genetic algorithm for sparse array optimization will be presented. For a linear array the optimization results according to this algorithm and two other methods have been compared to measurements and were presented in Reference 1. For a 2D-array, the optimization results of the improved algorithm will be presented.
ISSN:1073-9149
1525-6030
DOI:10.1080/10739149908085857