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Updated: Jun 21, 2025

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Dynamic Ultrasound Localization Microscopy Without ECG-Gating.

Nin Ghigo1, Gerardo Ramos-Palacios2, Chloé Bourquin1

  • 1Department of Engineering Physics, Polytechnique Montréal, Montréal, Quebec, Canada.

Ultrasound in Medicine & Biology
|July 5, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a motion-matching technique for Dynamic Ultrasound Localization Microscopy (DULM), eliminating the need for ECG-gating. This advancement simplifies DULM experiments and enhances accessibility for microbubble-based flow velocity measurements.

Keywords:
Cerebral flowDynamic ultrasound localization microscopyMicrobubblesNoninvasive transcranial dynamic brain imagingPulsatility index

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Ultrasound Technology

Background:

  • Dynamic Ultrasound Localization Microscopy (DULM) enables non-invasive pulsatility measurements in the rodent brain by tracking microbubbles (MBs).
  • Traditional DULM methods require ECG-gating, which limits applications and increases acquisition time.
  • There is a need for DULM techniques that do not rely on external synchronization signals.

Purpose of the Study:

  • To eliminate the requirement for ECG-gating in Dynamic Ultrasound Localization Microscopy (DULM) experiments.
  • To introduce a novel motion-matching method for accurate time registration in DULM.
  • To enable DULM on a wider range of datasets without compromising data quality.

Main Methods:

  • Developed a motion-matching algorithm utilizing tissue Doppler signals to leverage inherent cyclic brain tissue motion.
  • Estimated tissue Doppler for frame groups at locations of local maxima on the skull's surface.
  • Time-registered frame groups by aligning their tissue Doppler signals to a reference group, synchronizing with the cardiac cycle.

Main Results:

  • The motion-matching method was successfully validated in rat, mice (2D), and feline (3D) models.
  • Results from motion-matching time registration were comparable to those obtained using ECG-gating.
  • Demonstrated the extraction of dynamic velocity and density cine-loops and estimation of pulsatility index without ECG data.

Conclusions:

  • DULM can be performed effectively without external gating, broadening its applicability to any ultrasound localization microscopy dataset with sufficient microbubble detection.
  • Motion-matching for time registration significantly advances DULM by simplifying experimental procedures and increasing accessibility.
  • This technique enhances the utility of DULM for non-invasive hemodynamic assessments in various animal models.