Title: Stabilization of Particle Filter Based Vertebrae Tracking in Lumbar Spinal Videofluoroscopy

Issue Number: Vol. 3, No. 1
Year of Publication: Jun - 2017
Page Numbers: 35-40
Authors: Amina Amkoui, Ibrahim Guelzim, Hammadi nait charif, Lahcen Koutti
Journal Name: The International Journal of E-Learning and Educational Technologies in the Digital Media (IJEETDM)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002317


Tracking of spinal vertebrae in videofluoroscopy video is useful for diagnosis of certain spine pathologies, such as vertebral fractures, spondylolisthesis and low back pain. The aim of this work is to improve a semi-automatic method for vertebrae tracking based on particle filter. The process starts with vertebrae model construction by splining hand-selected landmark points, then the particle filter tracks the vertebrae in each frame. While the process successfully tracks the vertebras, the trajectories are quite jittery This paper aims to improve the overall tracking by smoothing the tracking trajectory using curve fitting function. The tracking results are more natural with very little noise.