Proceedings of the International Seminar on Computation, Communication and Control

Automatic Lumbar tracking based on image processing and particle filter

Authors
Liu YuChen, Ma YingDong, Du ZhiHao
Corresponding Author
Liu YuChen
Available Online March 2015.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Seminar on Computation, Communication and Control (IS3C-15)
Part of series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-55-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/is3c-15.2015.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - International Seminar on Computation, Communication and Control (IS3C-15)
PB  - Atlantis Press
SP  - 10
EP  - 14
SN  - 2352-538X
UR  - https://doi.org/10.2991/is3c-15.2015.3
DO  - https://doi.org/10.2991/is3c-15.2015.3
ID  - YuChen2015/03
ER  -