A Deep-Learning Based 3D Tumor Motion Prediction Algorithm for Non-Invasive Intra-Fractional Tumor-Tracked Radiotherapy (nifteRT) on Linac-MR

Yun J.; Rathee S.; Fallone B. G.

首页> 外文期刊>International Journal of Radiation Oncology, Biology, Physics >A Deep-Learning Based 3D Tumor Motion Prediction Algorithm for Non-Invasive Intra-Fractional Tumor-Tracked Radiotherapy (nifteRT) on Linac-MR

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A Deep-Learning Based 3D Tumor Motion Prediction Algorithm for Non-Invasive Intra-Fractional Tumor-Tracked Radiotherapy (nifteRT) on Linac-MR

机译：基于深度学习的3D肿瘤运动预测算法，用于LINAC-MR的非侵入性分数肿瘤跟踪放射疗法（Niftert）

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来源
《International Journal of Radiation Oncology, Biology, Physics》 |2019年第1suppla期|共1页
作者
Yun J.; Rathee S.; Fallone B. G.;
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作者单位

Cross Canc Inst Edmonton AB Canada;

Cross Canc Inst Edmonton AB Canada;

Cross Canc Inst Edmonton AB Canada;

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原文格式 PDF
正文语种 eng
中图分类放射医学;
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入库时间 2022-08-19 17:11:53

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1. A Deep-Learning Based 3D Tumor Motion Prediction Algorithm for Non-Invasive Intra-Fractional Tumor-Tracked Radiotherapy (nifteRT) on Linac-MR [J] . Yun J., Rathee S., Fallone B. G. International Journal of Radiation Oncology, Biology, Physics . 2019,第1Suppla期

机译：基于深度学习的3D肿瘤运动预测算法，用于LINAC-MR的非侵入性分数肿瘤跟踪放射疗法（Niftert）
2. Comparison of 2D and 3D modeled tumor motion estimation/prediction for dynamic tumor tracking during arc radiotherapy [J] . Liu Wu, Ma Xiangyu, Yan Huagang, Physics in medicine and biology. . 2017,第9期

机译：2D和3D建模肿瘤运动估计/预测弧形放射治疗动态肿瘤跟踪的比较
3. Intra-fractional uncertainties in cone-beam CT based image-guided radiotherapy (IGRT) of pulmonary tumors. [J] . Guckenberger M, Meyer J, Wilbert J, Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology . 2007,第1期

机译：基于锥形束CT的肺肿瘤影像引导放疗（IGRT）的分数内不确定性。
4. Lung tumor motion prediction based on multiple time-variant seasonal autoregressive model for tumor following radiotherapy [C] . 2010 IEEE/SICE International Symposium on System Integration . 2010

机译：基于多个时变季节性自回归模型的放疗后肺癌运动预测
5. A Deep-learning Method of Automatic VMAT Planning Via MLC Dynamic Sequence Prediction (AVP-DSP) Using 3D Dose Prediction: a Feasibility Study of Prostate Radiotherapy Application [D] . Ni, Yimin. 2020

机译：使用3D剂量预测通过MLC动态序列预测（AVP-DSP）自动VMAT规划的深度学习方法：前列腺放射治疗应用的可行性研究
6. Sequence-based prediction of protein protein interaction using a deep-learning algorithm [O] . Tanlin Sun, Bo Zhou, Luhua Lai, 2017

机译：使用深度学习算法基于序列的蛋白质相互作用预测
7. Intra-Fraction Motion Analysis for Frameless Linac-Based Stereotactic Radiosurgery with Three-Dimension (3D) Optical Surface Imaging for Intra-Fractional Motion Management [O] . S. Chen, B. Agyepong, Y. Poirier, 2019

机译：基于框架的框架内术中的帧内运动分析，三维（3D）光学表面成像用于分数间运动管理

A Deep-Learning Based 3D Tumor Motion Prediction Algorithm for Non-Invasive Intra-Fractional Tumor-Tracked Radiotherapy (nifteRT) on Linac-MR

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