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This document evaluates and compares six algorithms for predicting respiratory motion to compensate for latencies in radiation treatment. The algorithms were tested on a database of 304 real patient respiratory motion traces totaling over 21,000 minutes of data, a much larger dataset than prior studies. The experiments found that commonly used algorithms like normalized least mean squares (nLMS) were outperformed by wavelet-based multiscale autoregression (wLMS), support vector regression (SVRpred), and mul

Author

Phil Novosad

Language

EN