DocumentCode
1962618
Title
Automatic tracking measurement system on human lumbar vertebral motion
Author
Zhang, Yingyao ; Xie, Xiaobo ; Cui, Hongyan ; Hu, Yong ; Sui, Fuge ; Zhao, Lifeng ; Wang, Dongjun
Author_Institution
Inst. of Biomed. Eng., Perking Union Med. Coll., Tianjin
fYear
2009
fDate
11-13 May 2009
Firstpage
43
Lastpage
46
Abstract
An automated tracking system was developed to measure the flexion-extension motion of lumbar vertebrae using the algorithm of Sequential Important Resampling Particle Filter. In vitro validity was performed in 10 samples under digitized video fluoroscopy. Each sample was taken 2 full flexion-extension cycles under a special guide device in fixed speed, while the calibration model of lumbar vertebrae was fixed on a metal base. The trajectories are recorded by real-time depiction of the vertebral body with rigid fixation pens when the digitized video fluoroscopy collection is finished. A special system that can perform automatic tracking on the motion of lumbar vertebrae was developed. Reliability of the measurement was evaluated by a saw bone model experiment. In comparing with real-time motion recording, the correlation coefficient of test-retest and the accuracy were calculated, which showed satisfactory stability and consistency. The results suggested this new developed automatic tracking system could be a reliable tool to monitor the dynamic lumbar motion; to analyze the translation and rotational angle of vertebral from video-fluoroscopic images automatically and accurately. The proposed system may have a potential value in the evaluation of spinal medical application.
Keywords
diagnostic radiography; image sampling; medical image processing; particle filtering (numerical methods); video signal processing; automatic tracking measurement system; digitized video fluoroscopy; flexion-extension motion; human lumbar vertebral motion; important resampling particle filter; lumbar vertebrae motion; rigid fixation pens; sequential particle filter; video-fluoroscopic images; Anthropometry; Bones; Calibration; Humans; In vitro; Motion measurement; Particle filters; Particle measurements; Particle tracking; Spine; auto tracking; component; particle filter; sequential important resampling; spine; vertebral body;
fLanguage
English
Publisher
ieee
Conference_Titel
Virtual Environments, Human-Computer Interfaces and Measurements Systems, 2009. VECIMS '09. IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1944-9410
Print_ISBN
978-1-4244-3808-2
Electronic_ISBN
1944-9410
Type
conf
DOI
10.1109/VECIMS.2009.5068863
Filename
5068863
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