Trabecular Bone Mesoscale Structure Metrics from Magnetic Resonance

Three Matlab workspace tables contain ratio metric values for characterizing trabecular bone structure. The data includes values for healthy and osteoporotic bone samples, with healthy sample values reported as n x 25 arrays representing averages over increasing numbers of 1 mm x 1 mm x 5 mm samples. Author Chantal Nguyen created this dataset to support the paper "Novel magnetic resonance technique for characterizing mesoscale structure of trabecular bone".

Use Cases

• Developing classifiers to distinguish between healthy and osteoporotic bone samples based on ratio metric values.
• Analyzing the relationship between mesoscale bone structure and the averaging of sub-volume samples as described in the 25-column arrays.
• Benchmarking new magnetic resonance analysis techniques against the provided baseline and eroded ratio metric values for healthy samples.

Strengths

• Data is structured into three distinct tables for healthy baseline, healthy narrow-band, and osteoporotic samples, facilitating comparative analysis.
• The description specifies the physical meaning of the 25 columns in the healthy sample arrays, detailing the averaging over 1 mm x 1 mm x 5 mm samples.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Chantal Nguyen, associated with the research paper "Novel magnetic resonance technique for characterizing mesoscale structure of trabecular bone".

Collection Method

Likely derived from magnetic resonance imaging and analysis of bone samples as part of the described research technique.