2026-09-19T10:30:59Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/169832022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Kenneth Erikson and Markus Zhan.
McPhie, Robert M. (Robert Marshall), 1977-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-05-19T15:32:21Z
2005-05-19T15:32:21Z
2003
2003
http://hdl.handle.net/1721.1/16983
53884316
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (leaf 99).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Acoustic imaging transmit and receive arrays pairs are simulated in the bistatic transmission case using Field II, an industry standard ultrasound toolbox. Analysis of imaging fundamentals, as well as simple transmit and receive array beam patterns reveals desirable beam pattern properties that can be achieved with very dense arrays. As high element numbers in acoustic arrays are cumbersome with respect to manufacture and signal processing, techniques for reduction of array element numbers are reviewed. Array optimization is shown to be both highly desirable and attainable through straightforward iterative simulated annealing methods. A highly flexible array cost measure allows optimized array pairs to be generated based on a user-defined set of desired array properties.
by Robert M. McPhie.
M.Eng.
99 leaves
41726627 bytes
41726378 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Optimization of transmit/receive array topology in 3D acoustic imaging
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