Evidence map›Paper›PMID 39806195›Full record

ArticleNeuroinformatics2025

Large Scale in vivo Acquisition, Segmentation and 3D Reconstruction of Cortical Vasculature using

Anoek Strumane, Théo Lambert, Jan Aelterman, Danilo Babin, Gabriel Montaldo, Wilfried Philips, Clément Brunner, Alan Urban

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuroinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Anoek StrumaneDepartment of Telecommunications and Information Processing - Image Processing and Interpretation, Ghent University-imec, Sint-Pietersnieuwstraat 41, Gent, 9000, Belgium. anoek.strumane@ugent.be.
Théo LambertNeuro-Electronics Research Flanders, Kapeldreef 75, Leuven, 3001, Belgium.
Jan AeltermanDepartment of Telecommunications and Information Processing - Image Processing and Interpretation, Ghent University-imec, Sint-Pietersnieuwstraat 41, Gent, 9000, Belgium.
Danilo BabinDepartment of Telecommunications and Information Processing - Image Processing and Interpretation, Ghent University-imec, Sint-Pietersnieuwstraat 41, Gent, 9000, Belgium.
Gabriel MontaldoNeuro-Electronics Research Flanders, Kapeldreef 75, Leuven, 3001, Belgium.
Wilfried PhilipsDepartment of Telecommunications and Information Processing - Image Processing and Interpretation, Ghent University-imec, Sint-Pietersnieuwstraat 41, Gent, 9000, Belgium.
Clément Brunner *Neuro-Electronics Research Flanders, Kapeldreef 75, Leuven, 3001, Belgium.
Alan Urban *Neuro-Electronics Research Flanders, Kapeldreef 75, Leuven, 3001, Belgium.

Funding

Fonds Wetenschappelijk Onderzoek FWO-SBO S003418N
6 · The paper itself

Abstract

The brain is composed of a dense and ramified vascular network of arteries, veins and capillaries of various sizes. One way to assess the risk of cerebrovascular pathologies is to use computational models to predict the physiological effects of reduced blood supply and correlate these responses with observations of brain damage. Therefore, it is crucial to establish a detailed 3D organization of the brain vasculature, which could be used to develop more accurate in silico models. To this end, we have adapted our functional ultrasound imaging platform, previously designed for recording large scale activity, to enable rapid and reproducible acquisition, segmentation and reconstruction of the cortical vasculature. For the first time, it allows us to digitize the cortical

Indexed as

Cerebral CortexImaging, Three-DimensionalUltrasonography, DopplerAnimalsCerebrovascular CirculationMale3D modelsBlood vessel segmentationBrain vasculatureStrokeWhole-brain ultrasound imaging

Identifiers

PMID39806195
PMCPMC11729217

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.