Compressed sensing for beamformed ultrasound computed tomography

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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 languageEnglish
Title of host publication2015 IEEE International Ultrasonics Symposium (IUS)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages4
ISBN (Print)978-1-4799-8183-0
Publication statusPublished - 24 Oct 2015
Event2015 IEEE International Ultrasonics Symposium (IUS 2015) - Taipei International Convention Center, Taipei, Taiwan
Duration: 21 Oct 201524 Oct 2015


Conference2015 IEEE International Ultrasonics Symposium (IUS 2015)
Abbreviated title2015 IUS
Internet address


  • Image reconstruction
  • Transducers
  • Ultrasonic imaging
  • Breast
  • Computed tomography
  • Arrays
  • Inverse problems


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