Abstract
High quality three dimensional ultrasound imaging is typically attained by increasing the amount of sensors, resulting in complex hardware. Compressing measurements before sensing addresses this problem, and could enable new clinical applications. We have developed an analogue compression technique, by positioning a plastic coding mask in front of the aperture, which distorts the ultrasound field by inducing varying local echo delays. This results in a compression of the spatial ultrasound field across the sensor surface, while retaining sufficient information for 3D imaging. Using only a single sensor, complementary measurements can be obtained by rotation of the sensor and the mask to increase the conditioning of the reconstruction problem. In this work, we study a method to optimize the shape of the coding mask. To this end, we define an approximate signal model that captures the ultrasound response of the mask, and use it to pose mask shape optimization as a sensor selection problem. We solve it by relaxing it to a convex problem, as well as by using a greedy selection method. Our simulation results show that these approaches are able to outperform the random design strategy, in particular when mask rotations are included in the problem.
Original language | English |
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Title of host publication | Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 |
Editors | Michael B. Matthews |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 1016-1020 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-5386-1823-3 |
DOIs | |
Publication status | Published - 2018 |
Event | 51st Asilomar Conference on Signals, Systems, and Computers, ACSSC 2017 - Pacific Grove, CA, United States Duration: 29 Oct 2017 → 1 Nov 2017 Conference number: 51 https://signalprocessingsociety.org/blog/acssc-2018-2017-asilomar-conference-signals-systems-and-computers |
Conference
Conference | 51st Asilomar Conference on Signals, Systems, and Computers, ACSSC 2017 |
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Abbreviated title | ACSSC |
Country/Territory | United States |
City | Pacific Grove, CA |
Period | 29/10/17 → 1/11/17 |
Internet address |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.