Real-time marker tracking for MV treatment beam imaging

A new approach to obtain real-time positions of fiducial markers in MV treatment beam images is proposed. The MV images are firstly preprocessed to enhance contrast in the treatment field. To deal with large variations in projected marker shape, we propose a learning-based approach to detect marker...

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Bibliographic Details
Published in2013 IEEE International Symposium on Consumer Electronics (ISCE) pp. 227 - 228
Main Authors Wei-Yang Lin, Shu-Fang Lin, Sheng-Chang Yang, Shu-Cheng Liou, Wu Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
Correlation
Gold
Imaging
Real-time systems
Testing
Tracking
Tumors
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Summary:A new approach to obtain real-time positions of fiducial markers in MV treatment beam images is proposed. The MV images are firstly preprocessed to enhance contrast in the treatment field. To deal with large variations in projected marker shape, we propose a learning-based approach to detect marker locations in the enhanced MV images. We also show that marker tracking can be accomplished much more efficiently and reliably by exploiting temporal correlation between consecutive MV images. Thus, the proposed framework can accurately localize multiple markers in low-contrast MV images while satisfying the real-time constraints imposed by the IGRT. Our method has been validated using manual marker annotations as ground-truth. The marker detection rate on patient images was at least 96% for the cases collected from multiple treatment fractions.
ISBN:1467361984
9781467361989
ISSN:0747-668X
2159-1423
DOI:10.1109/ISCE.2013.6570198