CAJ | 학술논문

以粒子滤波理论为基础,计算、分析腰椎椎体运动轨迹及其物理参数.以模具腰椎椎体为研究对象,拍摄10组连续的数字荧光视频影像,每组重复2次做屈伸运动,并用固定在各椎体中心的刚性笔实时记录实际轨迹.对于算法实现测得的值与实际测量的值做相关分析,显示出强相关.测试算法的变异性和鲁棒性,计算5块椎体的旋转角度和椎体中心位移的标准离差(RMS)与测量标准误差(SEM).X位移方向:RMS分布于0.25～0.93 mm, Y位移方向:0.47～0.87 mm,矢状屈伸旋转角度:0.96°～1.40°(P＜0.05).重测信度分析测试中,5块椎体的角度、位移参数的对应相关系数均大于0.9,呈强相关.根据序贯重要性重采样粒子滤波算法原理,实现了模具腰椎在矢状弯曲运动过程中的运动轨迹检测.通过比较分析算法测得和实际测得参数的相关性、算法本身的变异性和鲁棒性及重测信度,我们认为在一定精度内,该算法稳定性好,一致性高.
이입자려파이론위기출,계산、분석요추추체운동궤적급기물리삼수.이모구요추추체위연구대상,박섭10조련속적수자형광시빈영상,매조중복2차주굴신운동,병용고정재각추체중심적강성필실시기록실제궤적.대우산법실현측득적치여실제측량적치주상관분석,현시출강상관.측시산법적변이성화로봉성,계산5괴추체적선전각도화추체중심위이적표준리차(RMS)여측량표준오차(SEM).X위이방향:RMS분포우0.25～0.93 mm, Y위이방향:0.47～0.87 mm,시상굴신선전각도:0.96°～1.40°(P＜0.05).중측신도분석측시중,5괴추체적각도、위이삼수적대응상관계수균대우0.9,정강상관.근거서관중요성중채양입자려파산법원리,실현료모구요추재시상만곡운동과정중적운동궤적검측.통과비교분석산법측득화실제측득삼수적상관성、산법본신적변이성화로봉성급중측신도,아문인위재일정정도내,해산법은정성호,일치성고.
To calculate trajectory and analyse physical parameters of lumbar vertebrae based on the particle filter.A lumbar vertebrae model was enrolled into this study. Digitised video fluoroscopy was obtained during sagittal flexion and extension. Each vertebra trajectory was recorded by real-time depiction of the vertebral body with rigid fixation pens when the collection was finished. Continuous dynamic lumbar inter-vertebral flexion-extension was assessed by digitized video fluoroscopy in calibration model at 10 times. Each time included 2 integral cycles.In the 20 integral cycles, correlation coefficient of x-and y-translation were calculated correspondingly between the automatic tracking measurement and actual measurement, which was strong related. For each integral sequence, root mean square differences (RMS) and standard error of the measurement (SEM) of rotation angle as well as the x-and y-translation of the centre among 10 trials were calculated to test the variability and robustness. From the results of RMS and SEM, x-translation was ranged from 0.25 to 0.93 mm. Y-translation was from 0.47 to 0.87 mm. Angle of rotation, from 0.96° to 1.40° (P＜0.05). In the test-retest trails, the CC ＞ 0.9 manifested that the measurement was of good stability and of high consistency over time.According to the principle of sequential important resampling particle filter, we implement movement detection of lumbar vertebrae calibration model. The analysis to the variability and robustness of particle filter algorithm itself and correlation coefficient and test-retest reliability show well in stability and consistency between the results computed from algorithm and actual measurement.