摘要
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. 512512× 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.
| 原文 | 英語 |
|---|---|
| 主出版物標題 | Proceedings of the 8th IASTED International Conference on Advances in Computer Science, ACS 2013 |
| 頁面 | 475-482 |
| 頁數 | 8 |
| DOIs | |
| 出版狀態 | 已出版 - 2013 |
| 對外發佈 | 是 |
| 事件 | 8th IASTED International Conference on Advances in Computer Science, ACS 2013 - Phuket, 泰國 持續時間: 10 04 2013 → 12 04 2013 |
出版系列
| 名字 | Proceedings of the 8th IASTED International Conference on Advances in Computer Science, ACS 2013 |
|---|
Conference
| Conference | 8th IASTED International Conference on Advances in Computer Science, ACS 2013 |
|---|---|
| 國家/地區 | 泰國 |
| 城市 | Phuket |
| 期間 | 10/04/13 → 12/04/13 |
UN SDG
此研究成果有助於以下永續發展目標
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SDG3 健康與福祉
指紋
深入研究「A novel scannet method for real-time position monitoring system in radiotherapy」主題。共同形成了獨特的指紋。引用此
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