[2H15-20] 内部被ばくと放射線医学

[2H18] Two-dimensional CT Image Prediction from tracking with optical flow and linear regression for X ray lung radiotherapy

*Michel Pohl¹, Mitsuru Uesaka¹, Kazuyuki Demachi¹, Ritu Bhusal Chhatkuli², Akihiro Haga³ (1. Graduate School of Engineering, The University of Tokyo, 2. National Institute of Radiological Sciences, 3. Graduate School of Biomedical Sciences, Tokushima University)

キーワード：optical flow, linear regression, lung cancer, radiotherapy

During lung cancer with radiotherapy, the radiation delivered to healthy tissues around the tumor need to be minimized which is difficult because of the breathing motion and the treatment machine latency. This work presents a new method for predicting chest images from limited information based on multiple points position tracking and prediction through optical flow and linear models.