Enhancing the capability of MAPS for radiotherapy verification
增强MAPS的放射治疗验证能力
基本信息
- 批准号:ST/S000143/1
- 负责人:
- 金额:$ 28.68万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2018
- 资助国家:英国
- 起止时间:2018 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
We have developed a thin, upstream device for real time 2D verification of intensity modulated radiotherapy based on the LASSENA monolithic active pixel sensor. In intensity modulated radiotherapy, the beam is shaped by a stack of thin moving collimators to spare as much of the healthy tissue as possible. The device is very thin and can therefore be placed between the beam and the patient as its attenuation is less than 1%. The device reports the position of each of the collimators in real time with unprecedented precision (our position resolution is 146 micron using the data generated in only one second of treatment) and an integrated signal, which gives a crude estimate of the beam intensity. Thus the treatment plan can be verified in real time without prior measurements. One of the trends in radiotherapy is to move to shorter but more intense treatments. One strand of this is Flattening Filter Free (FFF) treatments. These treatments provide a much higher dose rate and therefore it is even more important to monitor the treatment in real time as errors can have grave consequences. Our current LASSENA-based system is not suitable for FFF treatments. A new sensor has been developed, the Athena. In this proposal we want to characterise the Athena in a clinical setting and demonstrate that it works at least as well as the LASSENA, even for FFF treatments. In normal clinical operation our device would receive an integrated radiation dose of around 5kGy per year. We want to perform a radiation test of the Athena to find its clinical lifetime to ensure that the Athena based device is viable as a product. The LASSENA is not able to measure the dose administrated to the patient. This is because the signal in the device is the result of signal generated by the therapeutic photons and contamination electrons. The latter are generated by interactions of the photons with air and materials in the radiotherapy machine. The electron signal is dependent on many and partly unknown parameters and thus cannot be removed in a simple way. We have invented a way to measure simultaneously the electron and the photon contribution separately by patterning the substrate of the sensor. We successfully completed proof of principle measurements and showed that the method works. A patent application has been made. In this project we want to optimise the design and determine the dose measurement precision. The LASSENA system is able to report the collimator positions in real time. The whole algorithm was implemented in the firmware for the DAQ system for a predecessor of the LASSENA sensor, the Achilles. In this project we will adapt the firmware from the Achilles system to the Athena system.After completion of the project, we will have produced a system that can monitor the collimator positions and the dose administered to the patient in real time. This significantly enhances patient safety as the beam can be stopped within seconds if the measured treatment is not conform the planned treatment. Such a system would also be of great benefit for the NHS as there is no need for measurements (phantom runs) before the actual treatment. Hence, more patients can be safely treated in the same time.
我们已经开发了一个薄的,上游设备的真实的时间二维验证调强放疗的基础上LASSENA单片有源像素传感器。在调强放射治疗中,射束由一堆薄的移动准直器成形,以尽可能多地保留健康组织。该设备非常薄,因此可以放置在光束和患者之间,因为其衰减小于1%。该设备以前所未有的精确度(我们的位置分辨率为146微米,使用仅在一秒的治疗中生成的数据)和积分信号报告每个准直器的真实的时间位置,这给出了光束强度的粗略估计。因此,治疗计划可以在没有先前测量的情况下被真实的验证。放射治疗的趋势之一是转向更短但更强烈的治疗。其中之一是扁平过滤器免费(FFF)治疗。这些治疗提供了高得多的剂量率,因此更重要的是真实的时间监测治疗,因为错误可能具有严重的后果。我们目前基于LASSENA的系统不适合FFF治疗。一种新的传感器已经开发出来,雅典娜。在本提案中,我们希望在临床环境中描述Athena的特征,并证明它至少与LASSENA一样有效,即使对于FFF治疗也是如此。在正常的临床操作中,我们的设备每年将接受约5kGy的综合辐射剂量。我们希望对Athena进行辐射测试,以确定其临床寿命,从而确保基于Athena的器械作为产品是可行的。LASSENA无法测量给予患者的剂量。这是因为设备中的信号是由治疗光子和污染电子产生的信号的结果。后者是由光子与放射治疗机中的空气和材料相互作用产生的。电子信号取决于许多部分未知的参数,因此不能以简单的方式去除。我们已经发明了一种方法来同时测量电子和光子的贡献分别通过图案化的传感器的基板。我们成功地完成了原理测量的证明,并证明了该方法的有效性。已经申请了专利。在这个项目中,我们希望优化设计,并确定剂量测量精度。LASSENA系统能够真实的实时报告准直器位置。整个算法在LASSENA传感器的前身Achilles的DAQ系统的固件中实现。在本项目中,我们将调整Achilles系统的固件到Athena系统。项目完成后,我们将生产出一个能够真实的实时监测准直器位置和患者剂量的系统。这显著提高了患者的安全性,因为如果测量的治疗不符合计划的治疗,则可以在几秒钟内停止射束。这样的系统也将对NHS有很大的好处,因为在实际治疗之前不需要测量(体模运行)。因此,可以在同一时间内安全地治疗更多的患者。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Novel Approach to Contamination Suppression in Transmission Detectors for Radiotherapy
- DOI:10.1109/trpms.2020.2995059
- 发表时间:2020-09-01
- 期刊:
- 影响因子:4.4
- 作者:Beck, L.;Velthuis, J. J.;Pritchard, J.
- 通讯作者:Pritchard, J.
High-Resolution MLC Leaf Position Measurements With a Large Area MAPS
- DOI:10.1109/trpms.2020.3007859
- 发表时间:2021-05-01
- 期刊:
- 影响因子:4.4
- 作者:Pritchard, J. L.;Velthuis, J. J.;Hugtenburg, R. P.
- 通讯作者:Hugtenburg, R. P.
Suitability of Athena Monolithic Active Pixel Sensor for upstream monitoring of 6 MV, 6 FFF and 10 MV treatments.
Athena 单片主动像素传感器适用于 6 MV、6 FFF 和 10 MV 治疗的上游监控。
- DOI:10.1016/j.apradiso.2023.110799
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Beck L
- 通讯作者:Beck L
Real-time, upstream, radiotherapy verification using a Monolithic Active Pixel Sensor System
使用单片有源像素传感器系统进行实时上游放射治疗验证
- DOI:10.1088/1742-6596/1662/1/012034
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Velthuis J
- 通讯作者:Velthuis J
Towards 2D dosimetry using monolithic active pixel sensors and a copper grating
- DOI:10.1088/1748-0221/17/12/c12021
- 发表时间:2022-12-01
- 期刊:
- 影响因子:1.3
- 作者:Beck, L.;Velthuis, J. J.;Hugtenburg, R. P.
- 通讯作者:Hugtenburg, R. P.
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Johannes Velthuis其他文献
Johannes Velthuis的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Johannes Velthuis', 18)}}的其他基金
ML2C - Machine Learning for robust, real-time dosimetry and MultiLeaf Collimator verification
ML2C - 用于稳健、实时剂量测定和 MultiLeaf Collimator 验证的机器学习
- 批准号:
ST/T002646/1 - 财政年份:2019
- 资助金额:
$ 28.68万 - 项目类别:
Research Grant
Arachnid - A next generation silicon pixel detector for Particle and Nuclear Physics.
Arachnid - 用于粒子和核物理的下一代硅像素探测器。
- 批准号:
ST/J000981/1 - 财政年份:2012
- 资助金额:
$ 28.68万 - 项目类别:
Research Grant
Towards a commercial prototype for Cosmic Ray Tomography
宇宙射线断层扫描的商业原型
- 批准号:
ST/K000233/1 - 财政年份:2012
- 资助金额:
$ 28.68万 - 项目类别:
Research Grant
相似海外基金
Market Orientation, Big Data Analysis Capability, and Business Performance: The Moderating Role of Supplier Relationship, Big data Analysis Outscoring
市场导向、大数据分析能力与经营绩效:供应商关系的调节作用、大数据分析得分
- 批准号:
24K05127 - 财政年份:2024
- 资助金额:
$ 28.68万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Advancing plant synthetic gene circuit capability, robustness, and use
提高植物合成基因电路的能力、稳健性和使用
- 批准号:
DP240103385 - 财政年份:2024
- 资助金额:
$ 28.68万 - 项目类别:
Discovery Projects
Developing a recyclable carbon fibre composite capability for Australia
为澳大利亚开发可回收碳纤维复合材料能力
- 批准号:
IM230100048 - 财政年份:2024
- 资助金额:
$ 28.68万 - 项目类别:
Mid-Career Industry Fellowships
Towards an Integrated Capability to Explain and Predict Regional Climate Changes (EXPECT)
建立解释和预测区域气候变化的综合能力(EXPECT)
- 批准号:
10093446 - 财政年份:2024
- 资助金额:
$ 28.68万 - 项目类别:
EU-Funded
Collaborative Research: Frameworks: Advancing Computer Hardware and Systems' Research Capability, Reproducibility, and Sustainability with the gem5 Simulator Ecosystem
协作研究:框架:利用 gem5 模拟器生态系统提升计算机硬件和系统的研究能力、可重复性和可持续性
- 批准号:
2311893 - 财政年份:2023
- 资助金额:
$ 28.68万 - 项目类别:
Standard Grant
Collaborative Research: Frameworks: Advancing Computer Hardware and Systems' Research Capability, Reproducibility, and Sustainability with the gem5 Simulator Ecosystem
协作研究:框架:利用 gem5 模拟器生态系统提升计算机硬件和系统的研究能力、可重复性和可持续性
- 批准号:
2311892 - 财政年份:2023
- 资助金额:
$ 28.68万 - 项目类别:
Standard Grant
CAREER: Redesign of Ancillary Services via Aggregation and Disaggregation of Information, Flexibility, and Capability
职业:通过信息、灵活性和能力的聚合和分解重新设计辅助服务
- 批准号:
2238414 - 财政年份:2023
- 资助金额:
$ 28.68万 - 项目类别:
Continuing Grant
A Neural Network Management and Distribution System for Providing Super Multi-class Recognition Capability in Real Space
一种提供真实空间超多类别识别能力的神经网络管理与分发系统
- 批准号:
23K11120 - 财政年份:2023
- 资助金额:
$ 28.68万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Development of tendon/ligament repair modulater using a chemically modified Tetra-PEG gel with signal transduction capability
使用具有信号转导能力的化学改性 Tetra-PEG 凝胶开发肌腱/韧带修复调节剂
- 批准号:
23K18325 - 财政年份:2023
- 资助金额:
$ 28.68万 - 项目类别:
Grant-in-Aid for Challenging Research (Exploratory)
AHRC Capability for Collections Fund - Stream A (Facilities)
AHRC 收款基金能力 - A 组(设施)
- 批准号:
AH/V011901/1 - 财政年份:2023
- 资助金额:
$ 28.68万 - 项目类别:
Research Grant