Department of Orthopaedic Surgery, Longnan Hospital, Daqing, Heilong Jiang, China.
J Xray Sci Technol. 2011;19(2):205-18. doi: 10.3233/XST-2011-0287.
Previous lumbar motion analyses suggest the usefulness of quantitatively characterizing spine motion. However, the application of such measurements is still limited by the lack of user-friendly automatic spine motion analysis systems. This paper describes an automatic analysis system to measure lumbar spine disorders that consists of a spine motion guidance device, an X-ray imaging modality to acquire digitized video fluoroscopy (DVF) sequences and an automated tracking module with a graphical user interface (GUI). DVF sequences of the lumbar spine are recorded during flexion-extension under a guidance device. The automatic tracking software utilizing a particle filter locates the vertebra-of-interest in every frame of the sequence, and the tracking result is displayed on the GUI. Kinematic parameters are also extracted from the tracking results for motion analysis. We observed that, in a bone model test, the maximum fiducial error was 3.7%, and the maximum repeatability error in translation and rotation was 1.2% and 2.6%, respectively. In our simulated DVF sequence study, the automatic tracking was not successful when the noise intensity was greater than 0.50. In a noisy situation, the maximal difference was 1.3 mm in translation and 1° in the rotation angle. The errors were calculated in translation (fiducial error: 2.4%, repeatability error: 0.5%) and in the rotation angle (fiducial error: 1.0%, repeatability error: 0.7%). However, the automatic tracking software could successfully track simulated sequences contaminated by noise at a density ≤ 0.5 with very high accuracy, providing good reliability and robustness. A clinical trial with 10 healthy subjects and 2 lumbar spondylolisthesis patients were enrolled in this study. The measurement with auto-tacking of DVF provided some information not seen in the conventional X-ray. The results proposed the potential use of the proposed system for clinical applications.
先前的腰椎运动分析表明,定量描述脊柱运动是有用的。然而,这些测量的应用仍然受到缺乏用户友好的自动脊柱运动分析系统的限制。本文介绍了一种自动分析系统,用于测量腰椎疾病,该系统由脊柱运动引导装置、用于获取数字化视频荧光透视 (DVF) 序列的 X 射线成像方式以及具有图形用户界面 (GUI) 的自动跟踪模块组成。在引导装置下,在屈伸过程中记录腰椎的 DVF 序列。利用粒子滤波器的自动跟踪软件在序列的每一帧中定位感兴趣的椎骨,并在 GUI 上显示跟踪结果。运动分析还从跟踪结果中提取运动学参数。我们观察到,在骨模型测试中,最大基准误差为 3.7%,平移和旋转的最大重复性误差分别为 1.2%和 2.6%。在我们的模拟 DVF 序列研究中,当噪声强度大于 0.50 时,自动跟踪无法成功。在嘈杂的情况下,平移的最大差异为 1.3 毫米,旋转角度的最大差异为 1 度。误差是在平移(基准误差:2.4%,重复性误差:0.5%)和旋转角度(基准误差:1.0%,重复性误差:0.7%)中计算的。然而,自动跟踪软件可以非常准确地成功跟踪噪声密度≤0.5 的模拟序列,提供良好的可靠性和鲁棒性。本研究纳入了 10 名健康受试者和 2 名腰椎滑脱患者进行了临床试验。使用自动跟踪的 DVF 测量提供了一些在常规 X 射线中看不到的信息。研究结果提出了该系统在临床应用中的潜在用途。