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

Regular Papers

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

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

JOURNAL FREE ACCESS

2016 Volume 24 Issue 1 Pages 28-35

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

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Abstract

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.

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