Annotated Hip Fluoroscopy and CT Data from Cadaveric Specimens

Annotated datasets of hip fluoroscopy and CT scans derived from six lower torso cadaveric specimens. The data and code are associated with a 2020 IPCAI/IJCARS paper on automatic annotation for 2D/3D registration. Documentation and Python code for training and testing the proposed models are included.

Use Cases

• Training machine learning models for automatic anatomical annotation based on annotated fluoroscopy and CT data.
• Developing and benchmarking 2D/3D registration algorithms for hip surgery applications.
• Evaluating computer-assisted surgical capabilities that leverage fluoroscopic imaging.

Strengths

• Data originates from six cadaveric specimens, providing a basis for anatomical realism.
• Includes multimodal data (fluoroscopy and CT scans) with annotations.
• Companion paper provides detailed clinical motivation and algorithmic context.

Limitations

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

Provenance

Source

Johns Hopkins University

Collection Method

Derived from lower torso cadaveric specimens.