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

Image guided radiation therapy (IGRT) has played a major role in the precision of radiation therapy especially while tracking moving tumors. The IGRT units are capable of 2D planar imaging, fluoroscopy etc. As lung tumor tends to move and deform during respiration, it also undergoes a sudden phase change in motion due to sudden cough or sneezing during the treatment which leads to the treatment beam missing the target. In this study we propose an algorithm for tracking moving tumors during radiation t...
英字タイトル:
Sudden change detection in moving tumors for dynamic tracking in lung cancer radiation therapy