Abstract
Ultrasound computed tomography (UCT) allows reconstruction of quantitative tissue characteristics. Lowering the acquisition time would be beneficial; however, this is limited by the time of flight and the number of transmission events. Moreover, corruption of the measurements by noise may cause inverse scattering reconstruction methods such as the Born Iterative Method (BIM) to converge to a wrong solution. Beamforming using multiple elements to obtain a narrow beam has the potential to mitigate the effects of noise; however, spatial coverage per transmission event reduces in this case. To excite the full domain, more transmissions are required and the acquisition time increases even further. We therefore consider compressive acquisitions based on parallel randomized transmissions from a circular array. Relying on the assumption that the object is compressible, we combine the BIM with sparse reconstruction to obtain the estimated image.
Original language | English |
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Title of host publication | 2015 IEEE International Ultrasonics Symposium (IUS) |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Number of pages | 4 |
ISBN (Print) | 978-1-4799-8183-0 |
DOIs | |
Publication status | Published - 24 Oct 2015 |
Event | 2015 IEEE International Ultrasonics Symposium (IUS 2015) - Taipei International Convention Center, Taipei, Taiwan Duration: 21 Oct 2015 → 24 Oct 2015 http://ewh.ieee.org/conf/ius/ius_2015/ |
Conference
Conference | 2015 IEEE International Ultrasonics Symposium (IUS 2015) |
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Abbreviated title | 2015 IUS |
Country/Territory | Taiwan |
City | Taipei |
Period | 21/10/15 → 24/10/15 |
Internet address |
Keywords
- Image reconstruction
- Transducers
- Ultrasonic imaging
- Breast
- Computed tomography
- Arrays
- Inverse problems