A benchmark for 2D foetal brain ultrasound analysis.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
24 Aug 2024
24 Aug 2024
Historique:
received:
27
12
2023
accepted:
14
08
2024
medline:
26
8
2024
pubmed:
26
8
2024
entrez:
24
8
2024
Statut:
epublish
Résumé
Brain development involves a sequence of structural changes from early stages of the embryo until several months after birth. Currently, ultrasound is the established technique for screening due to its ability to acquire dynamic images in real-time without radiation and to its cost-efficiency. However, identifying abnormalities remains challenging due to the difficulty in interpreting foetal brain images. In this work we present a set of 104 2D foetal brain ultrasound images acquired during the 20th week of gestation that have been co-registered to a common space from a rough skull segmentation. The images are provided both on the original space and template space centred on the ellipses of all the subjects. Furthermore, the images have been annotated to highlight landmark points from structures of interest to analyse brain development. Both the final atlas template with probabilistic maps and the original images can be used to develop new segmentation techniques, test registration approaches for foetal brain ultrasound, extend our work to longitudinal datasets and to detect anomalies in new images.
Identifiants
pubmed: 39181905
doi: 10.1038/s41597-024-03774-3
pii: 10.1038/s41597-024-03774-3
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
923Subventions
Organisme : Department of Health | National Health and Medical Research Council (NHMRC)
ID : MRFFAI000085
Informations de copyright
© 2024. The Author(s).
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