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http://dx.doi.org/10.5573/ieie.2014.51.12.111

Patient Respiratory Motion Tracking Using Visual Coded Markers  

Wijenayake, Udaya (School of Computer Science and Engineering, Kyungpook National University)
Park, Soon-Yong (School of Computer Science and Engineering, Kyungpook National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.12, 2014 , pp. 111-122 More about this Journal
Abstract
As radiotherapy has become one of the widely used techniques in cancer treatment, accurate tracking of patient's respiratory motion is considered to be more important in treatment planning and dose calculations. Inaccurate motion tracking can cause severe issues such as errors in target/normal tissue delineation and increasing the volume of healthy tissues exposed to high doses. Different methods have been introduced to estimate the respiratory motion, but most of them require some electronic devices or expensive materials. As an inexpensive and easy to use alternative to the previous methods, we propose a new 3D respiratory motion tracking method by using stereo vision techniques of detecting and decoding visual coded markers.
Keywords
Respiratory motion; visual coded markers; stereo vision;
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