| 研究実績の概要 |
The purpose of this research is to develop a radiographic image tracking system to track respiration-induced tumor motion in real-time for adaptive tumor following radiation therapy. The tracking system will be able to provide conformable tumor motion information and allows the treatment device to accurately deliver high-dose conformable radiation to the moving target during the treatment.
The research achievements are summarized as follows. (1) A set of phantom image data and 13 clinical image data sets have been acquired at Hirosaki university hospital and Tohoku university hospital. (2) A kernel-based algorithm has been developed for tracking tumor position in kilo-voltage (kV) images. The tracking algorithm has been evaluated using the phantom and clinical kV image sequences. The experimental results demonstrated that the proposed method was capable of locating the tumor position in low contrast kV images and being robust against the image deformation. (3) A level set method-based method has been developed for tracking tumor boundary in megavoltage (MV) images. The method has been evaluated using three data sets including digital phantom image, phantom MV images, and clinical MV images. The experimental results demonstrated that the proposed method was able to segment the tumor target in MV images and has a potential for tumor following radiotherapy application.
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