Super-resolution using flow estimation in contrast enhanced ultrasound imaging

Oren Solomon, Ruud J.G. van Sloun, Massimo Mischi, Yonina C. Eldar

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Ultrasound localization microscopy offers new radiation-free diagnostic tools for vascular imaging deep within the tissue. Despite its high spatial resolution, low microbubble concentrations dictate the acquisition of tens of thousands of images, over the course of several seconds to tens of seconds, to produce a single super-resolved image. To address this limitation, sparsity-based approaches have recently been proposed to significantly reduce the total acquisition time, by resolving the vasculature in settings with considerable microbubble overlap. Here, we report on initial results of improving the spatial resolution and visual vascular reconstruction quality of sparsity-based super-resolution ultrasound imaging from low frame-rate acquisitions, by exploiting the inherent kinematics of microbubbles' flow. Our method relies on simultaneous tracking and sparsity-based detection of individual microbubbles.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)978-1-4799-8131-1
Publication statusPublished - 1 May 2019
Event2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019) - Brighton Conference Centre, Brighton, United Kingdom
Duration: 12 May 201917 May 2019


Conference2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019)
Abbreviated titleICASSP 2019
Country/TerritoryUnited Kingdom
Internet address


  • Compressed sensing
  • Contrast agents
  • Kalman filter
  • Super-resolution
  • Ultrasound


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