摘要：Lumbar vertebra motion analysis provides objective
measurement of lumbar disorder. The automatic tracking algorithm has been
applied to Digitalized Video Fluoroscopy (DVF) sequence. This paper proposes a
new Auto-Tracking System (ATS) with a guide device and a motion analysis to
automatically measure human lumbar motion. Digitalized Video Fluoroscopy (DVF)
sequence was obtained during flexion-extension lumbar movement under guide
device. An extraction of human vertebral body and its motion tracking were developed
by particle filter. The results showed a good repeatability, reliability and
robustness. In model test, the maximum fiducial error is 3.7% and the
repeatability error is 1.2% in translation and the maximal repeatability error
is 2.6% in rotation angle. In this simulation study, we employed a lumbar model
to simulate the motion of lumber flexion- extension with
the stepping translation of 1.3 mm and rotation angle of 1?.
Results showed that the fiducial error was measured as 1.0%, while the
repeatability error was 0.7%. The sequence can be detected even noise contamination
as more as 0.5 of the density. The result demonstrates that the data from the
auto-tracking algorithm shows a strong correlation with the actual measurement
and that the Vertebral Auto-Tracking System (VATS) is highly repetitive. In the
human lumbar spine evaluation, the study not only shows the reliability of Auto-Tracking Analysis
System (ATAS), but also reveals
that it is robust and variable in vivo.
The VATS is evaluated by the model, the simulated sequence and the human
subject. It could be concluded that the developed system could provide a
reliable and robust system to detect spinal motion in future medical
application.
关键词：Vertebral Auto-Tracking System (VATS); Particle Filter; Sequential Important Resampling; Lumbar Spine; Vertebral Body
