• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Methods of image reconstruction from projections applied to conformation radiotherapy.

作者信息

Bortfeld T, Bürkelbach J, Boesecke R, Schlegel W

机构信息

Institut für Radiologie und Pathophysiologie, Deutsches Krebsforschungszentrum, Heidelberg, Federal Republic of Germany.

出版信息

Phys Med Biol. 1990 Oct;35(10):1423-34. doi: 10.1088/0031-9155/35/10/007.

DOI:10.1088/0031-9155/35/10/007
PMID:2243845
Abstract

The problem of optimizing the dose distribution for conformation radiotherapy with intensity modulated external beams is similar to the problem of reconstructing a 3D image from its 2D projections. In this paper we analyse the relationship between these problems. We show that the main image reconstruction methods, namely filtered backprojection and iterative reconstruction, can be directly applied to conformation therapy. We examine the features of each of these methods with regard to this new application and we present first theoretical results.

摘要

相似文献

1
Methods of image reconstruction from projections applied to conformation radiotherapy.
Phys Med Biol. 1990 Oct;35(10):1423-34. doi: 10.1088/0031-9155/35/10/007.
2
A software tool of digital tomosynthesis application for patient positioning in radiotherapy.一种用于放射治疗中患者定位的数字断层合成应用的软件工具。
J Appl Clin Med Phys. 2016 Mar 8;17(2):174-193. doi: 10.1120/jacmp.v17i2.5999.
3
High resolution 2D dose measurement device based on a few long scintillating fibers and tomographic reconstruction.基于几根长闪烁光纤和断层重建的高分辨率二维剂量测量装置。
Med Phys. 2012 Aug;39(8):4840-9. doi: 10.1118/1.4736526.
4
A filtered backprojection dose calculation method for inverse treatment planning.一种用于逆向治疗计划的滤波反投影剂量计算方法。
Med Phys. 1994 Feb;21(2):303-13. doi: 10.1118/1.597291.
5
Three-dimensional image reconstruction from complete projections.
Phys Med Biol. 1989 May;34(5):573-87. doi: 10.1088/0031-9155/34/5/002.
6
A fast method to emulate an iterative POCS image reconstruction algorithm.一种快速仿真迭代 POCS 图像重建算法的方法。
Med Phys. 2017 Oct;44(10):e353-e359. doi: 10.1002/mp.12169.
7
Assessment of structural similarity in CT using filtered backprojection and iterative reconstruction: a phantom study with 3D printed lung vessels.使用滤波反投影和迭代重建评估CT中的结构相似性:一项关于3D打印肺血管的体模研究
Br J Radiol. 2017 Nov;90(1079):20160519. doi: 10.1259/bjr.20160519. Epub 2017 Aug 22.
8
Ultralow-dose CT of the craniofacial bone for navigated surgery using adaptive statistical iterative reconstruction and model-based iterative reconstruction: 2D and 3D image quality.颅颌面骨导航手术中超低剂量 CT 应用自适应统计迭代重建和基于模型的迭代重建:二维和三维图像质量。
AJR Am J Roentgenol. 2015 Mar;204(3):563-9. doi: 10.2214/AJR.14.12766.
9
A two-step Hilbert transform method for 2D image reconstruction.一种用于二维图像重建的两步希尔伯特变换方法。
Phys Med Biol. 2004 Sep 7;49(17):3903-23. doi: 10.1088/0031-9155/49/17/006.
10
Fast and exact 2D image reconstruction by means of Chebyshev decomposition and backprojection.通过切比雪夫分解和反投影实现快速精确的二维图像重建。
Phys Med Biol. 1999 Apr;44(4):1105-20. doi: 10.1088/0031-9155/44/4/020.

引用本文的文献

1
Deformable dose prediction network based on hybrid 2D and 3D convolution for nasopharyngeal carcinoma radiotherapy.基于二维和三维混合卷积的鼻咽癌放疗可变形剂量预测网络
Med Biol Eng Comput. 2025 Mar;63(3):733-747. doi: 10.1007/s11517-024-03231-8. Epub 2024 Oct 30.
2
Superiorization of projection algorithms for linearly constrained inverse radiotherapy treatment planning.用于线性约束逆向放射治疗计划的投影算法的优化
Front Oncol. 2023 Oct 26;13:1238824. doi: 10.3389/fonc.2023.1238824. eCollection 2023.
3
A convex optimization approach to radiation treatment planning with dose constraints.
一种具有剂量约束的放射治疗计划的凸优化方法。
Optim Eng. 2019 Mar;20(1):277-300. doi: 10.1007/s11081-018-9409-2. Epub 2018 Nov 22.
4
Artificial intelligence guided physician directive improves head and neck planning quality and practice Uniformity: A prospective study.人工智能引导的医生指令可提高头颈放疗计划质量和实践的一致性:一项前瞻性研究。
Clin Transl Radiat Oncol. 2023 Mar 10;40:100616. doi: 10.1016/j.ctro.2023.100616. eCollection 2023 May.
5
Advances in Automated Treatment Planning.自动化治疗计划的进展。
Semin Radiat Oncol. 2022 Oct;32(4):343-350. doi: 10.1016/j.semradonc.2022.06.004.
6
Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancers.结合密集元素与注意力机制的头颈部癌症 3D 放疗剂量预测。
J Appl Clin Med Phys. 2022 Aug;23(8):e13655. doi: 10.1002/acm2.13655. Epub 2022 Jun 3.
7
Site-agnostic 3D dose distribution prediction with deep learning neural networks.基于深度学习神经网络的与部位无关的 3D 剂量分布预测。
Med Phys. 2022 Mar;49(3):1391-1406. doi: 10.1002/mp.15461. Epub 2022 Jan 27.
8
A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.深度学习神经网络在放射治疗剂量预测中蒙特卡罗随机失活和自助聚合法在性能及不确定性估计方面的比较
Phys Med Biol. 2021 Feb 24;66(5):054002. doi: 10.1088/1361-6560/abe04f.
9
Materials and technical innovations in 3D printing in biomedical applications.生物医学应用中 3D 打印的材料和技术创新。
J Mater Chem B. 2020 Apr 21;8(15):2930-2950. doi: 10.1039/d0tb00034e. Epub 2020 Apr 2.
10
Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose-volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy.将人和习得的领域知识纳入深度神经网络训练中:一种可微分剂量体积直方图和对抗启发式框架,用于在放射治疗中生成帕累托最优剂量分布。
Med Phys. 2020 Mar;47(3):837-849. doi: 10.1002/mp.13955. Epub 2019 Dec 29.