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.

本综合数据集由腰椎正中矢状面观图像组成，包含图像以及经过精确标注的腰椎测量数据。构建该数据集的宗旨在于确立图像与临床相关的腰椎测量之间的紧密关联。目前，这些测量工作要么完全通过手工方法进行，要么借助计算机辅助工具完成。对于脊柱外科医生而言，这些脊柱测量数据在建议或筛选合适的手术干预方案时具有重要意义。传统上，脊柱外科医生在手术前评估患者的状况，以确定所采用手术方案的有效性。这也有助于医生建立关于所采取措施效果的关联。例如，在脊柱融合手术中，融合手术能否恢复脊柱平衡，这一问题可通过相关脊柱测量得到解答，包括腰椎前凸曲度角、腰椎各节段和整体腰椎的曲度、腰骶角、脊柱高度、椎体尺寸等。

综合数据集的获取过程如下：
1. 从MRI数据集中导出腰椎正中矢状面观图像。（原始数据来自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）。原始数据集包含轴向视图和标注，然而，为了确定脊柱畸形的疗效以及分析脊柱平衡，我们采用了矢状面图像。
2. 对L1至L5腰椎椎体和第一骶骨进行手动标注。在专家放射科医生的咨询下，共标注了6个区域，并由专家脊柱外科医生进行验证。
3. 进行完全自动化的脊柱测量，包括椎体识别和标注、腰椎高度、腰骶角、腰椎前凸角、脊柱曲度估算、椎间盘和椎体的尺寸测量。所有角度测量单位为度，距离测量单位为毫米。

总计可下载包含514张图像及其标注的脊柱测量数据，请于研究中引用我们的工作。