Composite Dataset of Lumbar Spine Mid-Sagittal Images with Annotations and Clinically Relevant Spinal Measurements

This composite dataset comprising of mid-sagittal views of lumbar spine is composed of images of lumbar spine with ground truth images duly labelled/annotated as well the spinal measurements. The purpose of creating this dataset was to establish a strong correlation in the images with the spinal measurements being clinically relevant. Presently, these measurements are being taken either completely through manual methods or by the use of computer assisted tools. The spinal measurements are clinically significant for a spinal surgeon before suggesting or shortlisting suitable surgical intervention procedure. Traditionally, the spinal surgeon evaluates the condition of the patient before surgical procedure in order to ascertain the usefulness of the adopted procedure. It also helps the surgeon in establishing a relation regarding effectiveness of the procedure adopted. For example, in case of spinal fusion procedure, will the fusion procedure be able to restore the spinal balance is a question for which the answered is obtained through making relevant spinal measurements, including lumbar lordotic curve angle, both segmental and for whole lumbar spine, lumbosacral angle, spinal heights, dimensions of vertebral bodies etc. The Composite Dataset is acquired in following steps:- 1. Exporting mid-sagittal view from the MRI dataset. (Originally taken from Sudirman, Sud; Al Kafri, Ala; natalia, friska; Meidia, Hira; Afriliana, Nunik; Al-Rashdan, Wasfi; Bashtawi, Mohammad; Al-Jumaily, Mohammed (2019), “Label Image Ground Truth Data for Lumbar Spine MRI Dataset”, Mendeley Data, V2, doi: 10.17632/zbf6b4pttk.2). The original dataset comprises of axial views with annotations however, to determine the efficacy of spinal deformities and analyzing spinal balance sagittal views are used instead. 2. Manual labelling of lumbar vertebral bodies from L1 to L5 and first sacrum bone. Total 6 regions were labelled in consultation with expert radiologists followed by validation by expert spinal surgeon. 3. Performing fully automatic spinal measurements, including, vertebral bodies identification and labelling, lumbar height, lumbosacral angle, lumbar lordotic angle, estimation of spinal curve, intervertebral body dimensions, vertebral body dimensions. All the angular measurements are in degrees, whereas the distance measurements are in millimeters. A total of 514 images and annotations with spinal measurements can be downloaded with request to please cite out work in your research.本复合数据集由腰椎正中矢状位影像构成，包含标注有真实真值（ground truth）图像的腰椎影像，同时附带脊柱测量指标。构建本数据集的目的在于建立影像与临床相关脊柱测量指标间的强关联。当前，脊柱测量多通过完全手动方式或借助计算机辅助工具完成。脊柱测量对于脊柱外科医师选择或筛选适宜的手术干预方案具有重要临床意义。 传统上，脊柱外科医师会在术前评估患者病情，以确认所采用手术方案的有效性，同时也有助于明确手术方案的疗效关联。例如，在脊柱融合手术中，“融合术能否恢复脊柱平衡”这一问题的答案，需通过相关脊柱测量获取，包括节段性及全腰椎的腰椎前凸曲度角、腰骶角、脊柱高度、椎体尺寸等。 本复合数据集的获取步骤如下： 1. 从MRI数据集中导出正中矢状位影像。（原始数据源自Sudirman, Sud; Al Kafri, Ala; natalia, friska; Meidia, Hira; Afriliana, Nunik; Al-Rashdan, Wasfi; Bashtawi, Mohammad; Al-Jumaily, Mohammed (2019), “Label Image Ground Truth Data for Lumbar Spine MRI Dataset”, Mendeley Data, V2, doi: 10.17632/zbf6b4pttk.2）。原始数据集包含带标注的轴位影像，但为评估脊柱畸形疗效并分析脊柱平衡，本数据集改用矢状位影像。 2. 手动标注L1至L5腰椎椎体及第一骶骨，经与放射学专家会诊共标注6个区域，并由脊柱外科专家进行验证。 3. 执行全自动脊柱测量，包括椎体识别与标注、腰椎高度、腰骶角、腰椎前凸角、脊柱曲度评估、椎体间尺寸及椎体尺寸测量。所有角度测量单位为度（°），距离测量单位为毫米（mm）。 本数据集共包含514张影像及附带脊柱测量数据的标注文件，如需下载请提交申请，并在研究中引用本数据集相关成果。