Yu-Feng Chien, Chi-Heng Lu, Sheng-Wen Lin, Tsair-Fwu Lee, Jiun-Jie Wang, Mei-Chuan Chen, and Chiu-Ching Tuan
Radiotherapy, Movement Detection, Contour, Patient Monitoring
Radiation therapy is a major modality of cancer treatment. To achieve good local control, high radiation dose must be precisely focused to the target region. A geometric missing during radiotherapy could result in tumor regrowth or severe damage of the neighboring normal tissues. To prevent geometric missing, a real-time monitoring the patient movement becomes very important. Using image or infrared technology to detect the displacement has been proposed. However, Promoting the current detection efficiency is too poor to fulfill clinical requirement due to the low resolution of pixels and slow complex calculation. To overcome these problems, this study proposed ScanNet algorithm to monitor the patient breathing, cough, or other movement. ScanNet algorithm could detect 1 mm shift under the resolution of 1920 × 1080 pixels in real-time and to meet the quality requirement of modern radiotherapy for monitoring displacement.
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