Evidence map›Paper›PMID 35177778›Full record

ArticleNature biomedical engineering2022

Performance benchmarking of microbubble-localization algorithms for ultrasound localization microscopy.

Baptiste Heiles, Arthur Chavignon, Vincent Hingot, Pauline Lopez, Eliott Teston, Olivier Couture

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Article in Nature biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed.

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  11. Assessing cerebral capillary function and stalling using single capillary reporters in ultrasound localization microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Baptiste Heiles *Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France. baptiste.heiles@gmail.com.ORCID http://orcid.org/0000-0001-9254-1741
Arthur Chavignon *Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.ORCID http://orcid.org/0000-0001-7883-7482
Vincent HingotSorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
Pauline LopezESPCI, CNRS, INSERM, PhysMedParis, Paris, France.
Eliott TestonESPCI, CNRS, INSERM, PhysMedParis, Paris, France.
Olivier CoutureSorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrafast ultrasound localization microscopy can be used to detect the subwavelength acoustic scattering of intravenously injected microbubbles to obtain haemodynamic maps of the vasculature of animals and humans. The quality of the haemodynamic maps depends on signal-to-noise ratios and on the algorithms used for the localization of the microbubbles and the rendering of their trajectories. Here we report the results of benchmarking of the performance of seven microbubble-localization algorithms. We used metrics for localization errors, localization success rates, processing times and a measure of the reprojection of the localization of the microbubbles on the original beamformed grid. We combined eleven metrics into an overall score and tested the algorithms in three simulated microcirculation datasets, and in angiography datasets of the brain of a live rat after craniotomy, an excised rat kidney and a mammary tumour in a live mouse. The algorithms, metrics and datasets, which we have made openly available at https://github.com/AChavignon/PALA and https://doi.org/10.5281/zenodo.4343435 , will facilitate the identification or generation of optimal microbubble-localization algorithms for specific applications.

Indexed as

MicrobubblesMicroscopyAlgorithmsAnimalsBrainMiceRats

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.