ULTRA-SR: Synthetic Data
<p><strong>ULTRA-SR: Ultrasound Localisation and TRacking Algorithms for Super Resolution</strong></p> <p>The ULTRA-SR Challenge was held at the 2022 IEEE International Ultrasound Symposium in Venice, Italy.</p> <p>The aim of the ULTRA-SR challenge is to extensively evaluate the performance of localization and tracking algorithms for Ultrasound Localization Microscopy.</p> <p>Two realistic simulated datasets of microvascular flow generated, using flow physics, acoustic field simulation with low and high clinical ultrasound frequencies, integrated with non-linear bubble dynamics.</p> <p>The ULTRA-SR Challenge dataset is publicly available for researchers to benchmark new algorithms and software.</p> <p>Additional information is available at: <a href="https://ultra-sr.com/">https://ultra-sr.com/</a></p> <p>Pre-print paper to cite which describes the data generation: <a href="https://doi.org/10.48550/arXiv.2211.00754">https://doi.org/10.48550/arXiv.2211.00754</a></p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4