Retrieving Pulsatility in Ultrasound Localization Microscopy

Wiersma, M.G.; Heiles, Baptiste; Kalisvaart, Dylan; Maresca, David; Smith, Carlas

doi:10.1109/ojuffc.2022.3221354

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…For now, DULM relies on the triggering of the ultrasound sequence on the ECG to start each group of frames acquired with an R-wave of the ECG and thus ensure the synchronicity between the groups. But in Wiersma et al (2022), another group showed in silico that pulsatility could be retrieved in the microbubbles tracks without ECG-gating. Also, it could be possible to measure, in each group, the microbubbles density in a large vessel as in Yu et al (2018) or the tissue movement to temporally register the images according to their timing in the cardiac cycles.…”

Section: Discussionmentioning

confidence: 99%

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Quantitative pulsatility measurements using 3D dynamic ultrasound localization microscopy

Bourquin,

Porée,

Rauby

et al. 2024

Phys. Med. Biol.

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A rise in blood flow velocity variations (i.e., pulsatility) in the brain, caused by the stiffening of upstream arteries, is associated with cognitive impairment and neurodegenerative diseases. The study of this phenomenon requires brain-wide pulsatility measurements, with large penetration depth and high spatiotemporal resolution. The development of Dynamic Ultrasound Localization Microscopy (DULM), based on ULM, has enabled pulsatility measurements in the rodent brain in 2D. However, 2D imaging accesses only one slice of the brain and measures only 2D-projected and hence biased velocities . Herein, we present 3D DULM: using a single ultrasound scanner at high frame rate (1000-2000 Hz), this method can produce dynamic maps of microbubbles flowing in the bloodstream and extract quantitative pulsatility measurements in the cat brain with craniotomy and in the mouse brain through the skull, showing a wide range of flow hemodynamics in both large and small vessels. We highlighted a decrease in pulsatility along the vascular tree in the cat brain, which could be mapped with ultrasound down to a few tens of micrometers for the first time. We also performed an intra-animal validation of the method by showing consistent measurements between the two sides of the Willis circle in the mouse brain. Our study provides the first step towards a new biomarker that would allow the detection of dynamic abnormalities in microvessels in the brain, which could be linked to early signs of neurodegenerative diseases.

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Section: Discussionmentioning

confidence: 99%

“…The method was also tested to characterize strokes in the rodent brain, in both 2D (Hingot et al 2020) and 3D (Chavignon et al 2022b). In silico, it was shown that microbubble tracks in ULM could even contain more information such as the pulsatility (Wiersma et al 2022).…”

Section: Introductionmentioning

confidence: 99%