Development of Lung Tumor Motion Prediction Method Using the SSA and MSSA Method for the Real Time Tumor Tracking Radiotherapy (RTRT) System

Kazuyuki DEMACHI; Masaki KAWAI; Takashi KIUCHI; Kohichiroh SUGAHARA

doi:10.14243/jsaem.24.28

学術論文

SSA法とMSSA法を用いた追尾放射線治療のための肺腫瘍挙動予測手法の開発

著者情報

キーワード: Prediction of time-series data, Medical application, Real time tumor tracking radiotherapy (RTRT), Principle Component Analysis (PCA), Singular Spectrum Analysis (SSA), Tumor Therapy

ジャーナルフリー

2016 年 24 巻 1 号 p. 28-35

DOI https://doi.org/10.14243/jsaem.24.28

詳細

抄録

In this research, the Singular Spectrum Analysis (SSA) was applied for the prediction of time series data. A simulation method was developed to predict the location of the human lung tumors during breathing. The prediction results showed good agreement with the measured data and they showed hopeful possibility to be applied for the chasing radiotherapy technology.

責任著者(Corresponding author)

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