课题基金 / 基金详情

Ionoacoustics in time and frequency domain: A novel method for direct in vivo measurement of the Bragg peak position in ion beam therapy

Ionoacoustics in time and frequency domain: A novel method for direct in vivo measurement of the Bragg peak position in ion beam therapy
时域和频域的离子声学:一种在离子束治疗中直接体内测量布拉格峰位置的新方法
批准号:
403225886
负责人:
Professor Dr. Günther Dollinger
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2022-12-31

项目摘要

项目成果

Professor Dr. Günther Dollinger的其他基金

相似基金

相关文献

中文摘要
翻译
射程验证是离子治疗中的关键问题,使其能够在临床上充分发挥其相对于光子治疗的独特优势。目前正在进行临床测试的方法依赖于核成像技术,这需要复杂而昂贵的探测器系统。此外,基于核的方法不能提供最大剂量(布拉格峰)和发射信号之间的直接关系。在我们的方法中,我们打算利用离子在组织中停止时产生的压力脉冲和相关的声波(因此是离子声学)来用超声波方法测量离子范围。这项技术提供了一种简单而直接的可能性,可以在活体和实时地将肿瘤区域的常规超声回波与最先进的铅笔束照射方案提供的单个布拉格峰的特征信号相关联。这一挑战需要在临床条件下使用较小的压力脉冲,如第一次实验测试所示。本项目的目标是实验演示微弱电离声信号的检测及其在类似临床条件下用于准确识别Bragg峰位置的应用。为此,我们将在时间上,特别是在频域上开发新的电离声探测方法,然后对质子束进行广泛的验证和改进。这一目标将通过使用强度调制能量沉积来实现,该沉积最初可以在光声装置中开发。在这个项目的第二部分,我们将在具有适当能量和束流条件的质子加速器上进行实验。最后,我们将致力于开发新的图像重建技术,旨在将Bragg峰位置与超声图像相关联,从而为未来在肿瘤治疗中部署这一独特且有前景的技术铺平道路。尽管该项目的重点是质子束,但离子声学技术也可以应用于更重的离子。
英文摘要
Range verification is the crucial issue in ion therapy to enable full clinical exploitation of its characteristic advantages over photon therapy. Methods currently under clinical testing rely on nuclear imaging techniques, which require complex and costly detector systems. Moreover, nuclear-based methods do not provide direct correlation between the dose maximum (Bragg peak) and the emission signal. In our approach, we intend to make use of the pressure pulse and related acoustic wave induced by ions stopping in tissue (hence ionoacoustics) to measure the ion range with ultrasound methods. This technique promises a simple and direct possibility to correlate, in vivo and in real-time, the conventional ultrasound echo of the tumor region with the characteristic signal of individual Bragg peaks delivered with the most advanced pencil-beam irradiation schemes. The challenge entails the small pressure pulse at clinical conditions, as shown in first experimental tests. The goal of this project is to demonstrate experimentally the detection of the weak ionoacoustic signal and its utilization for accurate identification of the Bragg peak position under clinical-like conditions. For this purpose, we will develop new methods of ionoacoustic detection in time and, in particular, frequency domain, and then perform extensive validation and refinement at proton beams. The goal will be achieved by using an intensity modulated energy deposition, which can be initially developed at an optoacoustic setup. In the second part of this project we will pursue experiments at proton accelerators with appropriate energies and beam conditions. Finally, we will engage in the development of new image reconstruction techniques, aiming at correlating the Bragg peak position with an ultrasound image, thus paving the way towards future deployment of this unique and promising technique in tumor therapy. Although the project is focused on proton beams, the ionoacoustic technique could also find application for heavier ions.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
3D-Wasserstoffmikroskopie
Charakterisierung von inneren Grenzflächen im Hinblick auf ultra-flache Kontakte und vergrabene Heterostrukturen
  • 批准号:
    5421210
  • 项目类别:
    Research Units
  • 资助金额:
    $0.0万
  • 财政年份:
    2004
  • 负责人:
    Professor Dr. Günther Dollinger
  • 依托单位:
Spatio-Temporal Organisation of Genome Surveillance in Live Cells
Quantitative Analyse von Elementverteilungen in Gruppe-III-Nitridschichten und ihren Heterostrukturen mittels Elastic Recoil Detection
国内基金
海外基金
SERS探针诱导TAM重编程调控头颈鳞癌TIME的研究
  • 批准号:
    82360504
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    32万元
  • 批准年份:
    2023
  • 负责人:
    周学军
  • 依托单位:
华蟾素调节PCSK9介导的胆固醇代谢重塑TIME增效aPD-L1治疗肝癌的作用机制研究
  • 批准号:
    82305023
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2023
  • 负责人:
    王萌
  • 依托单位:
基于MRI的机器学习模型预测直肠癌TIME中胶原蛋白水平及其对免疫T细胞调控作用的研究
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    52万元
  • 批准年份:
    2022
  • 负责人:
    李文政
  • 依托单位:
结直肠癌TIME多模态分子影像分析结合深度学习实现疗效评估和预后预测
  • 批准号:
    62171167
  • 项目类别:
    面上项目
  • 资助金额:
    57万元
  • 批准年份:
    2021
  • 负责人:
    姜慧杰
  • 依托单位: