Respiratory motion can induce the limit in the accuracy of area irradiated during lung cancer radiation therapy. Many methods have been introduced to minimize the impact of healthy tissue irradiation due to the lung tumor mot ion. The purpose of this research is to develop an algorithm for the improvement of image guided radiation therapy by the prediction of motion images. We predict the motion images by using principal component analysis (PCA) a nd multi-channel singular spectral analysis (MSSA) method. ...
英字タイトル:
Development of motion image prediction method using principal componentanalysis

Abstract In recent years, there are so many systems using movie. So, we propose a new method to predict the near-future images using movie. To predict the movi e, the Principal Component Analysis (PCA) and Multi-Channel Singular Spectrum Analysis (MSSA) are used in this method. Predicted movie obtained from this metho d is almost the same as the original movie, but improvement is required to reduce the calculation time and to increase the precision of the prediction for real -time image prediction. So, in ...
英字タイトル:
Technological Improvement of Movie Prediction Method by PCA and MSSA