Super-resolution using flow estimation in contrast enhanced ultrasound imaging

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

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
Pages1338-1342
Number of pages5
ISBN (Electronic)978-1-4799-8131-1
DOIs
Publication statusPublished - 1 May 2019
Event44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
Duration: 12 May 201917 May 2019

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
CountryUnited Kingdom
CityBrighton
Period12/05/1917/05/19

Keywords

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

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  • Cite this

    Solomon, O., van Sloun, R. J. G., Mischi, M., & Eldar, Y. C. (2019). Super-resolution using flow estimation in contrast enhanced ultrasound imaging. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (pp. 1338-1342). [8682715] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICASSP.2019.8682715