Automatic Lumbar tracking based on image processing and particle filter

DOI

10.2991/is3c-15.2015.3How to use a DOI?

Keywords

lumbar motion; digitalized video fluoroscopy; histogram analysis; particle filter; automatic tracking

Abstract

Lumbar motion is one of the most widely used information to diagnose low back disorder. By using the Digitalized Video Fluoroscopy (DVF) technique, a sequence of X-ray frames can be acquired, which shows the movement of patient vertebra. But the X-ray frame sequence is usually indistinct and having extra information. These interferences may lead to problems when doctors analyze the lumbar motion. In this paper, we propose an image histogram analysis based approach to deal with interferences in the X-ray video sequence. The method also employs a particle filter to implement automatic detecting and tracking of lumbar motion.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liu YuChen
AU  - Ma YingDong
AU  - Du ZhiHao
PY  - 2015/03
DA  - 2015/03
TI  - Automatic Lumbar tracking based on image processing and particle filter
BT  - Proceedings of the International Seminar on Computation, Communication and Control
PB  - Atlantis Press
SP  - 10
EP  - 14
SN  - 2352-538X
UR  - https://doi.org/10.2991/is3c-15.2015.3
DO  - 10.2991/is3c-15.2015.3
ID  - YuChen2015/03
ER  -