<b>BiElast-CTS: A Paired B-Mode and Elastography Ultrasound Dataset with Median Nerve Segm

BiElast-CTS is a multimodal ultrasound dataset of 147 wrists, including 78 healthy controls and 69 clinically confirmed carpal tunnel syndrome cases. It provides paired B-mode images, shear wave elastography maps, and pixel-level median nerve segmentation masks, manually annotated by an experienced radiologist. The dataset was collected from two medical centers and reports key diagnostic measurements like median nerve cross-sectional area and mean elastography stiffness.

Use Cases

• Training segmentation models for the median nerve based on the provided pixel-level masks.
• Developing diagnostic classifiers for carpal tunnel syndrome based on paired B-mode and elastography images.
• Evaluating the correlation between quantitative biomarkers like cross-sectional area and clinical outcomes.
• Benchmarking radiomics or machine learning models for multimodal medical image analysis.

Strengths

• Includes 147 total cases with a clinical split of 78 healthy and 69 CTS wrists.
• Provides paired B-mode and shear wave elastography images for multimodal analysis.
• Features pixel-level segmentation masks manually annotated by an experienced radiologist.
• Reports key quantitative imaging biomarkers like median nerve cross-sectional area and mean elastography stiffness.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic or institutional bias inherent to the two source medical centers.

Provenance

Source

Data collected from two medical centers using standardized imaging protocols.

Collection Method

Images were manually annotated by an experienced radiologist.

Freshness

Last updated 2026-05-18 14:25:53; freshness should be verified.