Multi-Disorder Annotations for Lumbar Spine Mid-Sagittal Images

This dataset provides a comprehensive collection of 1038 mid-sagittal lumbar spine MRI images, acquired using T1- and T2-weighted sequences, with a resolution of 384 \u00d7 384 pixels. Each image is accompanied by meticulously annotated segmentation masks, capturing key anatomical and pathological features of various spinal conditions. The annotations, totaling 8991 objects (average of 8.66 per image), were performed by expert radiologists and a spinal surgeon, ensuring clinical relevance and high accuracy. The dataset includes annotations for Normal Intervertebral Disc (IVD) (4131 objects), Lumbar Disc Bulge (2033 objects), Spinal Stenosis (1921 objects), Degenerative Disc Disease (633 objects), Thoracic Disc Bulge (151 objects), and Spondylolisthesis (122 objects). Organized into modality-specific subfolders, the dataset supports dual-modality analysis, enhancing its utility for developing automated diagnostic algorithms and computer-aided diagnosis systems for spinal disorders. The dataset is derived from a prior lumbar spine MRI dataset and is intended to facilitate research in medical image analysis and spinal pathology detection.