Data · dataset · 2025
A Low-Field MRI Dataset For Spatiotemporal Analysis of Developing Brain
Listed in ScienceDB
This dataset is part of a study investigating brain development in infants using a 0.35T low-field MRI system, specifically optimized for infants.
Description
The goal is to enhance our understanding of early brain development and identify potential neurological conditions that may affect long-term cognitive and behavioral outcomes.Participants were recruited from the Children’s Hospital of Zhejiang University School of Medicine.
They underwent the 0.35T MRI as part of a differential diagnosis to rule out cerebral complications. Sedation was used during imaging for clinical assessment purposes. This dataset includes scans of 53 female and 47 male Chinese infants without visible abnormalities, conducted between November 9, 2022, and September 28, 2023.
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The subjects ranged in age from 1 to 70 days post delivery(mean age: 35.66 ± 19.80 days). The dataset includes high-resolution 2D axial T2-weighted images acquired using an optimized fast spin echo technique.Additionally, the dataset includes manual brain mask segmentations for each image, as well as whole-brain segmentations based on an atlas-based method using the MCRIB template. All data are structured according to the BIDS specification.
The participants’ age and gender information is provided in the accompanying .tsv file.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.o00133.00006 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Image 75% · Imaging 75% · Magnetic resonance imaging 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.o00133.00006 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:imaging | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:mri | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |