LumVBCanSeg: A Lumbar Vertebral Body Cancellous Bone Segmentation Dataset
<p>To address the lumbar vertebral body cancellous bone segmentation problem, we propose a new dataset called LumVBCanSeg. The entire dataset consists of 185 lumbar CT scans acquired using multiple CT scanners, including the two manufacturers(Philips, Siemens). All data were obtained at ShengJing Hospital of China Medical University. Cases involving vertebral fractures, metal implants, bone tumors and foreign materials were omitted. All data were resampled to an isotropic resolution of 1mm × 1mm × 1mm. Each lumbar 3D CT image has a corresponding segmentation mask annotated at voxel level using the medical image annotation package Pair. Annotations cover five lumbar vertebral body cancellous bones from L1 to L5, with labels ranging from 1 to 5. All annotations were performed by 3 physicians followed by further refinement, dismissal or approval by one physician with more than 30 years of experience in lumbar imaging. </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Topics
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