Lumbar Coordinate Pretraining Dataset

Dataset Composition

The dataset includes:

1. X-ray Images: High-resolution radiographs providing clear views of the lumbar spine, allowing for detailed analysis of vertebral alignment, disc spaces, and potential degenerative changes.
2. MRI Scans: Detailed magnetic resonance images that offer insights into soft tissue conditions, including intervertebral discs, spinal cord, and nerve roots.
3. CT Scans: Computed tomography images highlighting bone structures and aiding in the detection of fractures, bone spurs, and other skeletal abnormalities.

Key Features

• Annotated Key Points: Each image is precisely annotated with five key points marking the locations of the L1 to L5 vertebrae. These annotations are crucial for developing and validating algorithms for automated vertebral detection and classification.
• Degenerative Changes Classification: The dataset includes labels indicating various stages of lumbar spine degeneration, such as disc herniation, spinal stenosis, and spondylolisthesis. These classifications help in training models to recognize and categorize degenerative changes.
• Clinical Metadata: Accompanying each image is clinical metadata, including patient age, gender, and clinical symptoms. This data enriches the dataset, enabling the development of more robust and context-aware predictive models.