Multi-Disorder Annotations for Lumbar Spine Mid-Sagittal Images

This dataset comprises 1038 sagittal spinal MRI images, each with a resolution of 384 × 384 pixels. The images are acquired using both T1- and T2-weighted sequences. Each image has been annotated with segmentation masks corresponding to various spinal conditions and the filenames have been standardized to ensure a clear link between raw images and their masks. Annotations have been meticulously performed by expert radiologists and spinal surgeons, ensuring high-quality, clinically relevant segmentations. The masks capture key anatomical and pathological features in each image, making the dataset valuable for developing automated diagnostic algorithms. Total number of annotations on 1038 images are 8991 (objects), on average 8.66 objects/annotations per image. The annotations are organized into distinct subfolders within the “labeled_images” directory, each corresponding to a specific spinal condition. The breakdown of objects per class is as follows:- - Normal IVD - 4131 objects - Lumbar Disc Bulge (LDB) - 2033 objects - Spinal Stenosis (SS) - 1921 objects - Degenerative Disc Disease (DDD) - 633 objects (Includes conditions disc degeneration, disc desiccation, vertebral body end-plate degeneration) - Thoracic Disc Bulge (TDB): 151 objects (Lesser number of objects since the dataset is related to Lumbar Spine Region) - Spondylolisthesis: 122 objects Each class folder contains modality-specific mask files (e.g., Sagittal_0001_T1_mask.png and Sagittal_0001_T2_mask.png), indicating that both T1- and T2-weighted images have been annotated. This dual-modality annotation enriches the dataset by providing complementary information critical for robust image analysis. Summary of Annotations (Images) is also included in class_summary.txt within the labeled_images folder.本数据集包含1038张矢状位脊柱磁共振成像（MRI）图像，分辨率统一为384×384像素。图像通过T1加权与T2加权序列采集获得。每张图像均配有对应多种脊柱病症的分割掩码（segmentation mask），且文件名已完成标准化处理，确保原始图像与对应掩码可建立清晰关联。 标注工作由资深放射科医师与脊柱外科医师精心完成，确保分割掩码具备高质量且符合临床相关标准。掩码可捕捉每张图像中的关键解剖与病理特征，使得该数据集对于开发自动化诊断算法具有重要应用价值。 1038张图像总计包含8991个标注目标，平均每张图像对应8.66个标注目标。 标注数据按照不同脊柱病症类别被整理至"labeled_images"目录下的独立子文件夹中，各类别目标数量分布如下： - 正常椎间盘（Normal IVD）：4131个目标 - 腰椎间盘突出（Lumbar Disc Bulge, LDB）：2033个目标 - 椎管狭窄（Spinal Stenosis, SS）：1921个目标 - 退行性椎间盘疾病（Degenerative Disc Disease, DDD）：633个目标（包含椎间盘退变、椎间盘干燥、椎体终板退变等病症） - 胸椎间盘突出（Thoracic Disc Bulge, TDB）：151个目标（因本数据集聚焦腰椎区域，故该类别目标数量较少） - 腰椎滑脱（Spondylolisthesis）：122个目标 每个类别文件夹均包含对应模态的掩码文件（例如Sagittal_0001_T1_mask.png与Sagittal_0001_T2_mask.png），表明已对T1加权与T2加权图像均完成标注。这种双模态标注方式可提供鲁棒图像分析所需的互补信息，丰富了数据集的内容。 标注的图像汇总信息已包含在"labeled_images"目录下的class_summary.txt文件中。