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，包含带有规范真实标注（ground truth）的腰椎影像，同时附带脊柱测量数据。本数据集的构建目标是建立腰椎影像与具有临床参考价值的脊柱测量数据之间的强关联。 当前，脊柱测量数据的获取途径主要分为两类：完全手工操作，或借助计算机辅助工具完成测量。在推荐或筛选合适的脊柱手术干预方案前，脊柱测量数据对脊柱外科医生而言具有重要临床价值。传统上，脊柱外科医生会在术前评估患者病情，以确认拟采用手术方案的适用性；同时该评估也有助于医生明确所选手术方案的疗效相关性。例如，针对脊柱融合手术，需通过相关脊柱测量方可解答“该融合手术能否恢复脊柱平衡”这一问题，测量指标包括节段性及全腰椎的腰椎前凸曲线角度、腰骶角、脊柱高度、椎体尺寸等。 本复合数据集的获取流程如下： 1. 从磁共振成像（Magnetic Resonance Imaging, MRI）数据集导出正中矢状位影像。（原始数据集源自：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状况，本数据集转而采用正中矢状位影像。 2. 对L1至L5腰椎椎体及第一骶骨进行手工标注。经与放射学专家磋商后，共标注6个区域，随后由脊柱外科专家完成验证。 3. 执行全自动化脊柱测量，涵盖椎体识别与标注、腰椎高度、腰骶角、腰椎前凸角、脊柱曲线评估、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）。 共计514张影像、标注文件及配套脊柱测量数据可经申请下载，恳请使用者在相关研究中引用本数据集成果。