Vertebrae tracking in lumbar spinal video-fluoroscopy using particle filters with semi-automatic initialisation

This source preferred by Hammadi Nait-Charif

Authors: Nait-Charif, H., Breen, A. and Thompson, P.

Editors: Bebis, G. et al.

http://dx.doi.org/10.1007/978-3-642-33191-6

Start date: 16 July 2012

Journal: ISVC (2)

Volume: 7432

Pages: 61-69

Publisher: Springer

ISBN: 978-3-642-33190-9

DOI: 10.1007/978-3-642-33191-6_7

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 verte- brae 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 re- sults compare well with the ground truth data obtained by manually segmenting the vertebrae.

This source preferred by Alan Breen

This data was imported from DBLP:

Authors: Nait-Charif, H., Breen, A. and Thompson, P.

Editors: Bebis, G. et al.

https://doi.org/10.1007/978-3-642-33191-6

Journal: ISVC (2)

Volume: 7432

Pages: 61-69

Publisher: Springer

ISBN: 978-3-642-33190-9

This data was imported from Scopus:

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

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.

This data was imported from Web of Science (Lite):

Authors: Nait-Charif, H., Breen, A. and Thompson, P.

Journal: ADVANCES IN VISUAL COMPUTING, ISVC 2012, PT II

Volume: 7432

Pages: 61-69

eISSN: 1611-3349

ISSN: 0302-9743

The data on this page was last updated at 04:53 on April 22, 2019.