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2010 IEEE International Conference on Bioinformatics and Bioengineering
A Comparative Study of a Novel AE-nLMS Filter and Two Traditional Filters in Predicting Respiration Induced Motion of the Tumor
Philadelphia, Pennsylvania USA
May 31-June 03
ISBN: 978-0-7695-4083-2
| ASCII Text | x | ||
| Ke Huang, Ivan Buzurovic, Yan Yu, Tarun K. Podder, "A Comparative Study of a Novel AE-nLMS Filter and Two Traditional Filters in Predicting Respiration Induced Motion of the Tumor," 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE), pp. 281-282, 2010 IEEE International Conference on Bioinformatics and Bioengineering, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/BIBE.2010.53, author = {Ke Huang and Ivan Buzurovic and Yan Yu and Tarun K. Podder}, title = {A Comparative Study of a Novel AE-nLMS Filter and Two Traditional Filters in Predicting Respiration Induced Motion of the Tumor}, journal ={2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)}, volume = {0}, year = {2010}, isbn = {978-0-7695-4083-2}, pages = {281-282}, doi = {http://doi.ieeecomputersociety.org/10.1109/BIBE.2010.53}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE) TI - A Comparative Study of a Novel AE-nLMS Filter and Two Traditional Filters in Predicting Respiration Induced Motion of the Tumor SN - 978-0-7695-4083-2 SP281 EP282 A1 - Ke Huang, A1 - Ivan Buzurovic, A1 - Yan Yu, A1 - Tarun K. Podder, PY - 2010 KW - tumor motion KW - prediction KW - respiration KW - adaptive filter KW - acceleration-enhanced filter KW - motion tracking VL - 0 JA - 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE) ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BIBE.2010.53
Prediction of tumor motion is one of the important steps in active tracking of tumor and dynamic delivery of radiation dose to tumor. In this paper, we have presented a novel adaptive acceleration-enhanced normalized least mean squares (AE-nLMS) prediction filter based on the adaptive normalized least mean squares (nLMS) filter with predicted acceleration and ratio between the real and predicted acceleration taken into account. We have compared the performances of nLMS, artificial neural network (ANN), and AE-nLMS filter for predicting the respiration motion during normal and irregular respiration. The results revealed that the ANN filter has the best performance in the prediction of normal respiration motion, whereas the AE-nLMS filter outperformed other filters in the prediction of irregular respiration motion.
Index Terms:
tumor motion, prediction, respiration, adaptive filter, acceleration-enhanced filter, motion tracking
Citation:
Ke Huang, Ivan Buzurovic, Yan Yu, Tarun K. Podder, "A Comparative Study of a Novel AE-nLMS Filter and Two Traditional Filters in Predicting Respiration Induced Motion of the Tumor," bibe, pp.281-282, 2010 IEEE International Conference on Bioinformatics and Bioengineering, 2010
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