No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Verification of helical tomotherapy delivery using autoassociative kernel regressiona)
1.G. A. Ezzell, J. M. Galvin, D. Low, J. R. Palta, I. Rosen, M. B. Sharpe, P. Xia, Y. Xiao, L. Xing, and C. X. Yu, “Guidance document on delivery, treatment planning, and clinical implementation of IMRT: Report of the IMRT subcommittee of the AAPM radiation therapy committee,” Med. Phys. 30, 2089–2097 (2003).
2.J. Deye, “NCI update on the use of IMRT in clinical trials,” AAPM Newsletter 27, 22–24 (2002).
3.J. R. Palta, J. A. Deye, G. S. Ibbott, J. A. Purdy, and M. M. Urie, “Credentialing of institutions for IMRT in clinical trials,” Int. J. Radiat. Oncol., Biol., Phys. 59, 1257–1259 (2004).
4.A. Molineu, D. S. Followill, P. A. Balter, W. F. Hanson, M. T. Gillin, M. S. Huq, A. Eisbruch, and G. S. Ibbott, “Design and implementation of an anthropomorphic quality assurance phantom for intensity-modulated radiation therapy for the radiation therapy oncology group,” Int. J. Radiat. Oncol., Biol., Phys. 63, 577–583 (2005).
5.A. Molineu, P. Alvarez, N. Hernandez, D. S. Followill, G. S. Ibbott, “Analysis of errors made during 138 IMRT irradiations of an anthropomorphic phantom,” Int. J. Radiat. Oncol., Biol., Phys., Suppl. Suppl. 63, S58 (2005).
6.R. J. Louwe, R. Tilenburg, K. M. van Ingen, B. J. Mijnheer, and M. B. van Herk, “The stability of liquid-filled matrix ionization chamber electronic portal imaging devices for dosimetry purposes,” Med. Phys. 31, 819–827 (2004).
7.M. Partridge, P. M. Evans, M. B. van Herk, L. S. Ploeger, J. B. Geoffrey, and H. V. James, “Leaf position verification during dynamic beam delivery: A comparison of three applications using electronic portal imaging,” Med. Phys. 27, 1601–1609 (2000).
8.J. Chang, G. S. Mageras, C. L. Clifton, and W. Lutz, “An iterative EPID calibration procedure for dosimetric verification that considers the EPID scattering factor,” Med. Phys. 28, 2247–2257 (2001).
9.L. S. Ploeger, M. P. Smitsmans, K. G. Gilhuijs, and M. B. van Herk, “A method for gemetrical verification of dynamic intensity modulated radiotherapy using a scanning electronic portal imaging device,” Med. Phys. 29, 389–395 (2002).
10.S. C. Vieira, L. P. Dirkx, K. L. Pasma, and B. J. M. Heijmen, “Fast and accurate leaf verification for dynamic multileaf collimator using an electronic portal imaging device,” Med. Phys. 29, 2034–2040 (2002).
11.S. S. Samant, W. Zheng, N. A. Parra, J. Chandler, A. Gopal, J. Wu, J. Jain, Y. Zhu, and M. Sontag, “Verification of multileaf collimator leaf positions using an electronic portal imaging device,” Med. Phys. 29, 2900–2912 (2002).
12.E. E. Grein, R. Lee, and K. Luchka, “An investigation of a new amorphous silicon electronic portal imagining device for transit dosimetry,” Med. Phys. 29, 2262–2268 (2002).
14.B. Warkentin, S. Steciw, S. Rathee, and B. G. Fallone, “Dosimetric IMRT verification with a flat-panel EPID,” Med. Phys. 30, 3143–3155 (2003).
15.L. N. McDermott, R. J. Louwe, J. J. Sonke, and M. B. van Herk, and B. J. Mijnheer, “Dose-response and ghosting effects of an amorphous silicon electronic portal imaging device,” Med. Phys. 31, 285–295 (2004).
16.J. Chang, C. H. Obcemea, J. Sillanpaa, J. Mechalakos, and C. Burman, “Use of EPID for leaf position accuracy QA or dynamic multi-leaf collimator (DMLC) treatment,” Med. Phys. 31, 2091–2096 (2004).
17.C. Kirkby and R. Sloboda, “Comprehensive Monte Carlo calculation of the point spread function for a commercial a-Si EPID,” Med. Phys. 32, 1115–1127 (2005).
18.C. Kirkby and R. Sloboda, “Consequences of the spectral response of an a-Si EPID and implications for dosimetric calibration,” Med. Phys. 32, 2649–2658 (2005).
19.P. Winkler, A. Hefner, and G. Dietmar, “Dose-response characteristics of an amorphous silicon EPID,” Med. Phys. 32, 3095–3105 (2005).
20.G. J. Budgell, Q. Zhang, R. J. Trouncer, and R. I. Mackay, “Improving IMRT quality control efficiency using an amorphous silicon electronic portal imager,” Med. Phys. 32, 3267–3276 (2005).
21.P. B. Greer, “Correction of pixel sensitivity variation and off-axis response for amorphous silicon EPID dosimetry,” Med. Phys. 32, 3558–3568 (2005).
22.L. S. Ploeger, M. P. Smitsmans, K. G. Gilhuijs, and M. B. van Herk, “Accurate measurement of the dynamic response of a scanning electronic portal imaging device,” Med. Phys. 28, 310–316 (2001).
23.J. J. Sonke, L. S. Ploeger, B. Brand, M. P. Smitsmans, and M. B. van Herk, “Leaf trajectory verification during dynamic intensity modulated radiotherapy using an amorphous silicon flat panel imager,” Med. Phys. 31, 389–395 (2004).
24.S. Steciw, B. Warkentin, S. Rathee, and B. G. Fallone, “Three-dimensional IMRT verification with a flat panel EPID,” Med. Phys. 32, 600–612 (2005).
25.M. Wendlig, R. J. Louwe, L. N. McDermott, J. J. Sonke, M. B. van Herk, B. J. Mijnheer, “Accurate two-dimensional IMRT verification using a back-projection EPID dosimetry method,” Med. Phys. 33, 259–273 (2006).
26.O. A. Zeidan, J. G. Li, M. K. Ranade, A. M. Stell, and J. F. Dempsey, “Verification of step-and-shoot IMRT delivery using a fast video-based electronic portal imaging device,” Med. Phys. 31, 463–476 (2004).
27.M. K. Ranade, B. D. Lynch, J. G. Li, and J. F. Dempsey, “A high-speed scintillation-based electronic portal imaging device to quantitatively characterize IMRT delivery,” Med. Phys. 33, 106–110 (2006).
28.T. R. Mackie, T. Holmes, S. Swerdloff, P. J. Rechwerdt, J. O. Deasy, J. N. Yang, B. Paliwal, and T. Kinsella, “Tomotherapy: A new concept of the delivery of dynamic conformal radiotherapy,” Med. Phys. 20, 1709–1719 (1993).
29.J. N. Yang, T. R. Mackie, P. J. Reckwerdt, J. O. Deasy, and B. R. Thomadsen, “An investigation of tomotherapy beam delivery,” Med. Phys. 24, 425–436 (1997).
30.J. P. Balog, T. R. Mackie, P. Reckwerdt, M. Glass, and L. Angelos, “Characterization for the output for helical delivery of intensity modulated slit beams,” Med. Phys. 26, 55–64 (1999).
31.K. J. Ruchala, G. H. Olivera, J. M. Kapatoes, E. A. Schloesser, P. J. Reckwerdt, and T. R. Mackie, “Megavoltage CT image reconstruction during tomotherapy treatments,” Phys. Med. Biol. 45, 3545–3562 (2000).
32.J. M. Kapatoes, G. H. Olivera, P. J. Rechwerdt, E. E. Fitchard, E. A. Schloesser, and T. R. Mackie, “Delivery verification in sequential and helical tomotherapy,” Phys. Med. Biol. 44, 1815–1841 (1999).
33.T. R. Mackie, “History of tomotherapy,” Phys. Med. Biol. 51, 427–449 (2006).
35.E. A. Nadaraya, “On estimating regression,” Theory of Probability and its Applications 10, 186–190 (1964).
36.D. R. Garvey and J. W. Hines, “An adaptive distance measure for use with nonparametric models,” 5th International Topical Meeting on Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, Albuquerque, NM, November 12–14, 2006.
37.D. W. Scott, Multivariate Density Estimation (Wiley, New York, 1992).
38.W. S. Cleveland and C. Loader, “Smoothing by local regression: Principles and methods,” Technical Report 95.3, AT&T Bell Laboratories, Statistics Department, Murray Hill, NJ, 1994.
39.J. W. Hines and A. A. Usynin, “MSET performance optimization through regularization,” Nuclear Engineering and Technology 37, 177–184 (2005).
40.P. Fantoni, “Experiences and applications of PEANO for on-line monitoring in power plants,” Progress in Nuclear Energy for a special issue on “Lessons Learned from Computational Intelligence in Nuclear Application,” 46, 3–4 (2005).
41.EPRI, “On-line monitoring of instrument channel performance, Volume 2: Model examples, algorithm descriptions, and additional results,” Final Report # 1003579, Electric Power and Research Institute (EPRI), Palo Alto, CA, 2004.
42.S. Wegerich, “Performance comparison of variable selection and grouping algorithms,” SmartSignal Corp. Technical Report for Funded Research Project: “MSET Variable Selection Optimization,” August, 2002.
43.B. Efron and R. J. Tibshirani, An Introduction to the Bootstrap, (Chapman and Hall, New York, 1993).
44.A. V. Gribok, A. M. Urmanov, and J. W. Hines, “Uncertainty analysis of memory based sensor validation techniques,” Real-Time Syst. 27, 7–26 (2004).
45.B. Rasmussen and J. W. Hines, “Uncertainty estimation techniques for empirical model based condition monitoring,” 6th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science. Blankenberge, Belgium, 2004.
46.J. W. Hines and R. M. Seibert, “Technical review of on-line monitoring techniques for performance assessment: Part I State of the Art,” NUREG/CR-6895, U.S. Nuclear Regulatory Commission, Washington, D.C., 2006.
47.K. E. Humenik and K. C. Gross, “Sequential probability ratio tests for reactor signal validation and sensor surveillance applications,” Nucl. Sci. Eng. 105, 383–390 (1990).
48.V. M. Morgenstern, B. R. Upadyaya, and M. Benedetti, “Signal anomaly detection using modified CUMSUM,” Proceedings of the 27th Conference on Decision and Control, Austin, TX, 1997.
49.M. Dong, D. K. Xu, and M. H. Li, “Fault diagnosis model for power transformer based on statistical learning theory and dissolved gas analysis,” Proceedings of the IEEE International Symposium on Electrical Insulation, Indianapolis, IN, 2004.
Article metrics loading...
Full text loading...
Most read this month