Feasibility of Building a Deep Convolutional Neural Network for MR Image Based Synthetic-CT for Prostate Proton Planning: A Novel Method to Improve MRI Based Proton Dose Calculation Accuracy

Ding X.; Chen S.; Wang W.; Qin A.; Li X.; Zhou J.; Krauss D.; Stevens C.; Kabolizadeh P.; Yan D.

首页> 外文期刊>Medical Physics >Feasibility of Building a Deep Convolutional Neural Network for MR Image Based Synthetic-CT for Prostate Proton Planning: A Novel Method to Improve MRI Based Proton Dose Calculation Accuracy

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Feasibility of Building a Deep Convolutional Neural Network for MR Image Based Synthetic-CT for Prostate Proton Planning: A Novel Method to Improve MRI Based Proton Dose Calculation Accuracy

机译：用于建立深度卷积神经网络的可行性，用于前列腺质子规划的基于MR图像的Synthetic-CT：一种提高MRI基于MRI的质子剂量计算精度的新方法

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来源
《Medical Physics》 |2018年第6期|共1页
作者
Ding X.; Chen S.; Wang W.; Qin A.; Li X.; Zhou J.; Krauss D.; Stevens C.; Kabolizadeh P.; Yan D.;
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作者单位

William Beaumont Hosp Royal Oak MI 48072 USA;

William Beaumont Hosp Royal Oak MI 48072 USA;

William Beaumont Hosp Royal Oak MI 48072 USA;

William Beaumont Hosp Royal Oak MI 48072 USA;

William Beaumont Hosp Royal Oak MI 48072 USA;

William Beaumont Hosp Royal Oak MI 48072 USA;

William Beaumont Hosp Royal Oak MI 48072 USA;

William Beaumont Hosp Royal Oak MI 48072 USA;

William Beaumont Hosp Royal Oak MI 48072 USA;

William Beaumont Hosp Royal Oak MI 48072 USA;

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原文格式 PDF
正文语种 eng
中图分类基础医学;
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入库时间 2022-08-19 17:15:38

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1. Feasibility of Building a Deep Convolutional Neural Network for MR Image Based Synthetic-CT for Prostate Proton Planning: A Novel Method to Improve MRI Based Proton Dose Calculation Accuracy [J] . Ding X., Chen S., Wang W., Medical Physics . 2018,第6期

机译：用于建立深度卷积神经网络的可行性，用于前列腺质子规划的基于MR图像的Synthetic-CT：一种提高MRI基于MRI的质子剂量计算精度的新方法
2. Feasibility of MRI-only treatment planning for proton therapy in brain and prostate cancers: Dose calculation accuracy in substitute CT images [J] . Koivula Lauri, Wee Leonard, Korhonen Juha Medical Physics . 2016,第8期

机译：仅MRI治疗计划在脑和前列腺癌中的质子治疗的可行性：替代CT图像中的剂量计算准确性
3. MRI-based Proton Radiotherapy for Prostate Cancer Using Deep Convolutional Neural Networks [J] . Yang X., Liu Y., Lei Y., International Journal of Radiation Oncology, Biology, Physics . 2019,第1Suppla期

机译：基于MRI的Proton放射治疗前列腺癌使用深卷积神经网络
4. Improving Proton CT beyond Iterative Methods with a Convolutional Neural Network [C] . Seyed Mohsen Hosseini, Reinhard W. Schulte Conference on Medical Imaging: Physics of Medical Imaging . 2021

机译：用卷积神经网络改善超越迭代方法的质子CT
5. Implementation of an Evidence-Based Clinical Decision Tool to Improve Guideline Adherence and Drug Dosing Accuracy of Proton Pump Inhibitors in the Hospital Setting [D] . Morris, Kathleen E. 2019

机译：实施基于证据的临床决策工具，以提高医院环境中质子泵抑制剂的指南依从性和药物剂量准确性
6. Deep Auto-context Convolutional Neural Networks for Standard-Dose PET Image Estimation from Low-Dose PET/MRI [O] . Lei Xiang, Yu Qiao, Dong Nie, -1

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7. Feasibility of MRI-only treatment planning for proton therapy in brain and prostate cancers: Dose calculation accuracy in substitute CT images [O] . Koivula, Lauri, Wee, Leonard, Korhonen, Juha 2016

机译：仅磁共振成像治疗计划在脑和前列腺癌中进行质子治疗的可行性：替代CT图像中的剂量计算准确性

Feasibility of Building a Deep Convolutional Neural Network for MR Image Based Synthetic-CT for Prostate Proton Planning: A Novel Method to Improve MRI Based Proton Dose Calculation Accuracy

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