Vertebrae tracking in lumbar spinal video-fluoroscopy using particle filters with semi-automatic initialisation
Authors: Nait-Charif, H., Breen, A. and Thompson, P.
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 7432 LNCS
Issue: PART 2
Pages: 61-69
eISSN: 1611-3349
ISBN: 9783642331909
ISSN: 0302-9743
DOI: 10.1007/978-3-642-33191-6_7
Abstract:Vertebrae tracking in lumbar spinal video-fluoroscopy is the first step in the analysis of vertebrae kinematic in patients with lower back pain. This paper presents a technique to track the vertebrae using particle filters with image gradient based likelihood measurement. In the first X-ray frame, the vertebrae are semi-automatically segmented and a bi-spline curve is fitted to the landmark points to construct the vertebrae outlines; then a particle filter is used to track the vertebrae through the sequence. The proposed technique is able to track the vertebrae in both lateral and frontal video-fluoroscopy sequences. The tracking results compare well with the ground truth data obtained by manually segmenting the vertebrae. © 2012 Springer-Verlag.
Source: Scopus
