Geometric Ultrasound Localization Microscopy

TL;DR

This paper introduces a geometric framework for ultrasound localization microscopy that improves micro bubble localization accuracy and robustness by using ellipse intersections and TDoA information, surpassing traditional beamforming methods.

Contribution

The study proposes a novel geometric approach for ULM that replaces DAS beamforming with TDoA-based ellipse intersections, enhancing resolution and robustness.

Findings

Outperforms baseline methods in accuracy

Uses less transducer data effectively

Offers a robust alternative to beamforming

Abstract

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.