Normative Intramuscular Fat Values from 173 Healthy Adults on Lumbar Spine MRI

Supplementary Material 2 for a study validating an automated deep-learning method for quantifying intramuscular fat in lumbar spine muscles using Dixon MRI. The dataset likely contains normative reference values derived from a cohort of 173 healthy adults. It was authored by Germán Balerdi and published on figshare under a CC-BY-4.0 license on 2026-04-30.

Use Cases

• Validate automated muscle fat quantification algorithms against a normative cohort (inferred from domain, verify after download)
• Establish baseline reference ranges for intramuscular fat in clinical populations (inferred from domain, verify after download)
• Train or benchmark deep-learning models for segmentation or quantification on Dixon MRI (inferred from domain, verify after download)

Strengths

• Published on figshare with a permissive CC-BY-4.0 license.
• Dataset size is 31.9 MB, indicating a manageable download.
• Associated with a validation study involving 173 healthy adult subjects.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count and column-level documentation are unknown, limiting suitability assessment.
• Data may reflect the specific cohort and imaging protocol bias inherent to the source study.

Provenance

Source

figshare

Collection Method

Likely derived from Dixon MRI scans of a healthy adult cohort, processed with an automated deep-learning pipeline.

Freshness

Last updated 2026-04-30 04:13:41.