Geometric Ultrasound Localization Microscopy
This work addresses the need for higher-resolution medical imaging in diagnostics, offering a novel approach that could enhance non-invasive visualization, though it appears incremental as it builds on existing ULM technology.
The study tackled the problem of improving Ultrasound Localization Microscopy (ULM) resolution by questioning the use of beamforming, proposing a geometric framework based on Time-Difference-of-Arrival (TDoA) for micro bubble localization, which outperformed baseline methods in accuracy and robustness on a public dataset while using less transducer data.
Contrast-Enhanced Ultra-Sound (CEUS) has become a viable method for non-invasive, dynamic visualization in medical diagnostics, yet Ultrasound Localization Microscopy (ULM) has enabled a revolutionary breakthrough by offering ten times higher resolution. To date, Delay-And-Sum (DAS) beamformers are used to render ULM frames, ultimately determining the image resolution capability. To take full advantage of ULM, this study questions whether beamforming is the most effective processing step for ULM, suggesting an alternative approach that relies solely on Time-Difference-of-Arrival (TDoA) information. To this end, a novel geometric framework for micro bubble localization via ellipse intersections is proposed to overcome existing beamforming limitations. We present a benchmark comparison based on a public dataset for which our geometric ULM outperforms existing baseline methods in terms of accuracy and robustness while only utilizing a portion of the available transducer data.