Cerenkov Tomography of 4D Radiation Therapy Plans
4D 放射治疗计划的切伦科夫断层扫描
基本信息
- 批准号:8643920
- 负责人:
- 金额:$ 23.01万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-09-30 至 2015-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): A newly discovered method for imaging radiation beam dose profiles from Cerenkov light emission will be studied and developed for real-time tomographic imaging of the advanced therapy treatment plans. Radiation therapy (RT) for cancer is one of the most technologically advanced areas of medicine today, utilizing state of the art CT, MRI, and PET imaging together with advanced treatment planning algorithms, to design patient specific delivery of radiation from a linear accelerator (LINAC). Despite this, the tools to characterize beams accuracy are extremely slow, and to date there is still no known way to visualize the beam in quickly. The importance of this new development cannot be overstated, in terms of its potential impact in the field of RT. Current procedures to measure beam dose in water tanks or tissue phantoms involve the use of ionization chambers, which are raster scanned in a 3D water tank, so that developing a 3D image of a beam would take the majority of a 24 hour day; therefore, it is rarely done. Yet, beam verification is required, and today only partial information is used in the commissioning process of new LINACs or in the verification of complex treatment plans. This newly discovered process of imaging the beam based upon the Cerenkov emission in the medium will allow instantaneous 2D imaging and very fast tomographic profiling of each beam planned. The preliminary data proving the potential of this proposal is already established, and will be followed up with a methodical development of a realization to image LINAC beams quickly with characterization of the accuracy. Systematic testing in standard medical physics water tank set ups will be completed with validation studies as outlined by the American Association of Physicists in Medicine. The accuracy of imaging advanced Intensity Modulated Radiation Therapy (IMRT) plans for cancer treatment will be studied to illustrate how imaging the planned delivery should improve accuracy. This work will be followed up through disease specific applications in future funding, following completion of this planned basic/translational period of development.
描述(由申请人提供):将研究并开发一种新发现的用于从Cerenkov光发射的辐射束剂量概况的方法,以用于高级治疗治疗计划的实时层析成像。用于癌症的放射疗法(RT)是当今技术最先进的医学领域之一,利用CT,MRI和PET成像以及先进的治疗计划算法,以设计患者从线性加速器(Linac)设计患者的辐射。尽管如此,表征光束准确性的工具非常慢,至今仍没有已知的方法可以迅速可视化光束。就其在RT领域的潜在影响而言,这一新发展的重要性不能被夸大。在水箱或组织幻像中测量梁剂量的当前程序涉及使用电离室的使用,这些电离室是在3D水箱中扫描的光栅,以便开发梁的3D图像将使大部分24小时的大部分时间;因此,很少做。然而,需要梁验证,如今,在新的利纳奇人的调试过程中或对复杂治疗计划的验证中仅使用部分信息。这个新发现的基于介质中Cerenkov发射的光束成像的过程将允许瞬时2D成像和计划的每个光束的非常快速的层析成像分析。初步数据证明了该提案的潜力已经建立,并将随后进行有条理的开发,以实现迅速形象,以精度的表征来形象迅速形象。标准医疗物理水箱设置中的系统测试将通过美国医学物理学家协会概述的验证研究完成。将研究成像高级强度调制辐射疗法(IMRT)的癌症治疗计划的准确性,以说明成像如何提高精度的成像。在完成计划的基本/转化期发展期之后,将通过疾病的特定应用程序进行这项工作。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据
数据更新时间:2024-06-01
Brian W. Pogue其他文献
Onward to better surgery - the critical need for improved ex vivo testing and training methods
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- 期刊:
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- 作者:Eric R. Henderson;Ryan Halter;Keith D. Paulsen;Brian W. Pogue;Jonathan T. Elliott;Ethan M. LaRochelle;Alberto Ruiz;Shudong Jiang;S. Streeter;K. Samkoe;Summer L. GibbsEric R. Henderson;Ryan Halter;Keith D. Paulsen;Brian W. Pogue;Jonathan T. Elliott;Ethan M. LaRochelle;Alberto Ruiz;Shudong Jiang;S. Streeter;K. Samkoe;Summer L. Gibbs
- 通讯作者:Summer L. GibbsSummer L. Gibbs
Automated classification of breast pathology using local measures of broadband reflectance
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- 作者:Ashley M. Laughney;V. Krishnaswamy;Pilar Beatriz;Olga M. Conde;W. Wells;Keith D Paulsen;Brian W. PogueAshley M. Laughney;V. Krishnaswamy;Pilar Beatriz;Olga M. Conde;W. Wells;Keith D Paulsen;Brian W. Pogue
- 通讯作者:Brian W. PogueBrian W. Pogue
Tunable phosphorescent hydrogels for Cherenkov-excited luminescence imaging (CELI) of oxygen
用于氧气切伦科夫激发发光成像(CELI)的可调谐磷光水凝胶
- DOI:
- 发表时间:20242024
- 期刊:
- 影响因子:0
- 作者:Simin Belali;Marien Iliza Ochoa Mendoza;Matthew S. Reed;Annemarie Lang;J. Boerckel;Brian W. Pogue;Sergei A. VinogradovSimin Belali;Marien Iliza Ochoa Mendoza;Matthew S. Reed;Annemarie Lang;J. Boerckel;Brian W. Pogue;Sergei A. Vinogradov
- 通讯作者:Sergei A. VinogradovSergei A. Vinogradov
Fast Deformable Image Registration for Real-Time Target Tracking During Radiation Therapy Using Cine MRI and Deep Learning
- DOI:10.1016/j.ijrobp.2022.09.08610.1016/j.ijrobp.2022.09.086
- 发表时间:2023-03-152023-03-15
- 期刊:
- 影响因子:
- 作者:Brady Hunt;Gobind S. Gill;Daniel A. Alexander;Samuel S. Streeter;David J. Gladstone;Gregory A. Russo;Bassem I. Zaki;Brian W. Pogue;Rongxiao ZhangBrady Hunt;Gobind S. Gill;Daniel A. Alexander;Samuel S. Streeter;David J. Gladstone;Gregory A. Russo;Bassem I. Zaki;Brian W. Pogue;Rongxiao Zhang
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Sampling of time- and frequency-domain signals in monte carlo simulations of photon migration.
光子迁移蒙特卡罗模拟中时域和频域信号的采样。
- DOI:
- 发表时间:19991999
- 期刊:
- 影响因子:1.9
- 作者:Markus Testorf;Ulf Österberg;Brian W. Pogue;Keith D PaulsenMarkus Testorf;Ulf Österberg;Brian W. Pogue;Keith D Paulsen
- 通讯作者:Keith D PaulsenKeith D Paulsen
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Brian W. Pogue的其他基金
Oxygen dynamics in FLASH radiotherapy
FLASH 放射治疗中的氧动力学
- 批准号:1073447810734478
- 财政年份:2023
- 资助金额:$ 23.01万$ 23.01万
- 项目类别:
Cerenkov excited luminescence sheet imaging (CELSI)
切伦科夫激发发光片成像 (CELSI)
- 批准号:95368129536812
- 财政年份:2017
- 资助金额:$ 23.01万$ 23.01万
- 项目类别:
Cerenkov excited luminescence sheet imaging (CELSI)
切伦科夫激发发光片成像 (CELSI)
- 批准号:99236399923639
- 财政年份:2017
- 资助金额:$ 23.01万$ 23.01万
- 项目类别:
Direct and Repeated Clinical Measurement of pO2 for Enhancing Cancer Therapy
直接和重复的 pO2 临床测量可增强癌症治疗
- 批准号:95140939514093
- 财政年份:2015
- 资助金额:$ 23.01万$ 23.01万
- 项目类别:
Cerenkov Tomography of 4D Radiation Therapy Plans
4D 放射治疗计划的切伦科夫断层扫描
- 批准号:87386658738665
- 财政年份:2013
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2012 Lasers in Medicine and Biology - Gordon Research Conference
2012 年激光在医学和生物学中的应用 - 戈登研究会议
- 批准号:82525018252501
- 财政年份:2012
- 资助金额:$ 23.01万$ 23.01万
- 项目类别:
Education/Training and Outreach Activities
教育/培训和外展活动
- 批准号:79826147982614
- 财政年份:2010
- 资助金额:$ 23.01万$ 23.01万
- 项目类别:
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