Robust automated vertebra motion tracking from videofluoroscopy sequences
Lam, S.C.B. and Allen, R. (2008) Robust automated vertebra motion tracking from videofluoroscopy sequences. In, 4th IET International Conference on Advances in Medical, Signal and Information Processing, 2008 (MEDSIP 2008). 4th IET International Conference on Advances in Medical Signal and Information Processing, 2008 (MEDSIP 2008) USA, Institute of Electrical and Electronics Engineers, 1-4.
Full text not available from this repository.
This paper proposed a robust and reliable automated tracking technique using a particle filter. A constant velocity random walk model is adopted in the state transition model. The observation model is an amalgam of histogram matching from Markov random fields segmentation and gradient intensity measurements. The accuracy of tracking the vertebrae from a calibration model is of 1deg and the variability among 5 initialisations is less than 0.5deg.
|Item Type:||Book Section|
|Additional Information:||ISSN 0537-9989|
|Subjects:||R Medicine > R Medicine (General)
T Technology > TA Engineering (General). Civil engineering (General)
Q Science > QP Physiology
|Divisions:||University Structure - Pre August 2011 > Institute of Sound and Vibration Research > Signal Processing and Control
|Date Deposited:||17 Feb 2009|
|Last Modified:||27 Mar 2014 18:46|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)