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 language | English |
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Title of host publication | 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1338-1342 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-4799-8131-1 |
DOIs | |
Publication status | Published - 1 May 2019 |
Event | 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019) - Brighton Conference Centre, Brighton, United Kingdom Duration: 12 May 2019 → 17 May 2019 https://2019.ieeeicassp.org/ |
Conference
Conference | 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019) |
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Abbreviated title | ICASSP 2019 |
Country/Territory | United Kingdom |
City | Brighton |
Period | 12/05/19 → 17/05/19 |
Internet address |
Keywords
- Compressed sensing
- Contrast agents
- Kalman filter
- Super-resolution
- Ultrasound