Next generation small animal radiation research platform
下一代小动物辐射研究平台
基本信息
- 批准号:10895120
- 负责人:
- 金额:$ 47.11万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-02-09 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAlgorithmsAnesthesia proceduresAnimalsClinicClinicalClinical TreatmentCollimatorCommunitiesComputational TechniqueComputer softwareCost AnalysisDedicationsDevelopmentDevelopment PlansDisparityDoseEngineeringEnsureFreedomFunctional ImagingGenerationsHourHumanHypoglycemiaImageImmune responseImpairmentIntensity-Modulated RadiotherapyInterruptionIntuitionInvestigationJointsLearningLungMalignant NeoplasmsManualsMechanicsMedicalMedical centerModalityModernizationNormal tissue morphologyOrganPhysiologicalPositron-Emission TomographyPriceProcessRadiationRadiation Dose UnitRadiation therapyRadiobiologyRadiotherapy ResearchRattusReliability of ResultsResearchResourcesRiskSalesSample SizeShapesSideSoftware DesignSpeedSystemTechniquesTechnologyTestingTherapeuticTimeTissuesTranslatingTranslationsValidationanatomic imagingcone-beam computed tomographycostdesigndesign and constructionevidence baseexperiencefrontierimage guidedimaging modalityimaging platformimprovedindustry partnerinnovationnatural hypothermianew technologynext generationnovelpre-clinicalpre-clinical researchpreclinical studyproduct developmentprototypereconstructionresearch studyresponsesystems researchtreatment planningtreatment responsetumor
项目摘要
PROJECT SUMMARY
Small Animal Radiation Research (SARR) is of paramount importance for the advancement of human
radiotherapy (RT) by serving as a critical counterpart to perform comprehensive preclinical studies on a large
number of subjects under controlled experimental conditions at low costs. SARR relies on dedicated platforms
to administer radiation dose to animals in a similar way as in the clinic. Current-generation SARR irradiators,
developed in the past decade, have failed to keep pace with technology advancements in human RT. In stark
contrast to modern RT treatments where novel anatomical and functional imaging, inverse treatment planning,
and intensity modulated delivery techniques are routinely employed to precisely form an extremely conformal
dose distribution to the tumor, the therapeutic form in current SARR systems resembles an obsolete form of
human RT. This technology disparity has substantially impaired SARR study relevance to human RT, impeded
explorations in RT research, and hindered rapid conduction of SARR studies. Towards addressing this
problem, in response to PAR-15-075, this project will develop and translate a next-generation SARR platform
through an academic-industrial partnership, joining medical physicists and radiobiologists at UT Southwestern
Medical Center (UTSW) with engineering experts at Faxitron Bioptics LLC (Faxitron). The developed system
will be substantially superior to the current state-of-the-art SARR platform due to its novel imaging methods
(dual energy cone beam CT and PET), intensity modulated radiotherapy, and high computation and treatment
delivery efficiency. These novel features are expected to improve SARR research relevance to human RT by
delivering treatments of clinical quality, to support exploration in modern RT by offering technical freedom to
realize novel imaging and therapy approaches, and to increase research efficiency by enhancing
computational speed and workflow. We will perform studies with the following specific aims (SAs): SA1: Refine
hardware design and construct the hardware system including mechanical, imaging, and therapy subsystems.
SA2: Refine software design and develop an imaging and treatment planning system accompanied with the
hardware platform. SA3: Perform comprehensive system tests, develop a translation plan, and demonstrate
achieved advantages of the system via an animal study on image-guided intensity-modulated lung stereotactic
body radiotherapy using rats. The innovation of this project includes novel technological capabilities enabled by
the next-generation SARR platform, as well as coherent translation activities to deliver new capabilities to endusers. Project feasibility is ensured by extensive preliminary studies, and the research team integrating medical
physicists and radiobiologists (UTSW) with strong clinical and research expertise and engineers (Faxitron) with
extensive commercial product development experience. By filling the critical void between SARR and human
RT, the developed system will become an essential component in preclinical research for the exploration of
novel radiotherapeutic strategies with high relevance to human RT.
项目概要
小动物辐射研究(SARR)对于人类进步至关重要
放射治疗 (RT),作为重要的对应方,对大型研究进行全面的临床前研究
以低成本控制实验条件下的受试者数量。 SARR 依赖专用平台
以与诊所类似的方式对动物进行辐射剂量。当前一代 SARR 辐射器,
过去十年的发展,未能跟上人类 RT 技术进步的步伐。赤裸裸地
与现代 RT 治疗相反,现代 RT 治疗采用新颖的解剖和功能成像、逆向治疗计划、
通常采用强度调制传输技术来精确地形成极其保形的
由于肿瘤的剂量分布,当前 SARR 系统中的治疗形式类似于过时的
人类 RT。这种技术差距严重损害了 SARR 研究与人类 RT 的相关性,阻碍了
RT研究的探索,阻碍了SARR研究的快速开展。为解决这个问题
问题,针对PAR-15-075,该项目将开发并翻译下一代SARR平台
通过学术与工业合作伙伴关系,加入德州大学西南医学中心的医学物理学家和放射生物学家
医疗中心 (UTSW) 和 Faxitron Bioptics LLC (Faxitron) 的工程专家。开发的系统
由于其新颖的成像方法,将大大优于当前最先进的SARR平台
(双能锥形束CT和PET)、调强放射治疗、高计算量和治疗量
交付效率。这些新功能预计将通过以下方式提高 SARR 研究与人类 RT 的相关性:
提供临床质量的治疗,通过提供技术自由来支持现代 RT 的探索
实现新的成像和治疗方法,并通过增强研究效率来提高
计算速度和工作流程。我们将开展以下具体目标 (SA) 的研究: SA1:完善
硬件设计和构建硬件系统,包括机械、成像和治疗子系统。
SA2:完善软件设计并开发成像和治疗计划系统
硬件平台。 SA3:执行全面的系统测试,制定翻译计划并进行演示
通过图像引导调强肺立体定向的动物研究获得了该系统的优势
使用大鼠进行身体放射治疗。该项目的创新包括以下技术能力:
下一代 SARR 平台,以及为最终用户提供新功能的连贯翻译活动。广泛的前期研究确保了项目的可行性,研究团队将医学与
具有强大临床和研究专业知识的物理学家和放射生物学家 (UTSW) 以及具有丰富经验的工程师 (Faxitron)
丰富的商业产品开发经验。通过填补 SARR 和人类之间的关键空白
RT,开发的系统将成为临床前研究的重要组成部分,以探索
与人类放疗高度相关的新型放射治疗策略。
项目成果
期刊论文数量(19)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An introduction to deep learning in medical physics: advantages, potential, and challenges.
医学物理深度学习简介:优势、潜力和挑战。
- DOI:
- 发表时间:2020-03-03
- 期刊:
- 影响因子:3.5
- 作者:Shen, Chenyang;Nguyen, Dan;Zhou, Zhiguo;Jiang, Steve B;Dong, Bin;Jia, Xun
- 通讯作者:Jia, Xun
Multienergy element-resolved cone beam CT (MEER-CBCT) realized on a conventional CBCT platform.
在传统 CBCT 平台上实现的多能单元分辨锥形束 CT (MEER-CBCT)。
- DOI:
- 发表时间:2018-10
- 期刊:
- 影响因子:3.8
- 作者:Shen, Chenyang;Li, Bin;Lou, Yifei;Yang, Ming;Zhou, Linghong;Jia, Xun
- 通讯作者:Jia, Xun
Improving robustness of a deep learning-based lung-nodule classification model of CT images with respect to image noise.
提高基于深度学习的 CT 图像肺结节分类模型对图像噪声的鲁棒性。
- DOI:
- 发表时间:2021-12-07
- 期刊:
- 影响因子:3.5
- 作者:Gao, Yin;Xiong, Jennifer;Shen, Chenyang;Jia, Xun
- 通讯作者:Jia, Xun
Small animal photon counting cone-beam CT on a preclinical radiation research platform to improve radiation dose calculation accuracy.
临床前辐射研究平台上的小动物光子计数锥束CT,提高辐射剂量计算精度。
- DOI:
- 发表时间:2022-09-26
- 期刊:
- 影响因子:3.5
- 作者:Hu, Xiaoyu;Zhong, Yuncheng;Lai, Youfang;Shen, Chenyang;Yang, Kai;Jia, Xun
- 通讯作者:Jia, Xun
Recent Developments on gMicroMC: Transport Simulations of Proton and Heavy Ions and Concurrent Transport of Radicals and DNA.
gMicroMC 的最新进展:质子和重离子的传输模拟以及自由基和 DNA 的并发传输。
- DOI:
- 发表时间:2021-06-21
- 期刊:
- 影响因子:5.6
- 作者:Lai, Youfang;Jia, Xun;Chi, Yujie
- 通讯作者:Chi, Yujie
{{
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 }}
Xun Jia其他文献
Xun Jia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('Xun Jia', 18)}}的其他基金
Adversarially Based Virtual CT Workflow for Evaluation of AI in Medical Imaging
基于对抗性的虚拟 CT 工作流程,用于评估医学影像中的人工智能
- 批准号:
10391652 - 财政年份:2022
- 资助金额:
$ 47.11万 - 项目类别:
Next generation small animal radiation research platform
下一代小动物辐射研究平台
- 批准号:
10680056 - 财政年份:2022
- 资助金额:
$ 47.11万 - 项目类别:
Adversarially Based Virtual CT Workflow for Evaluation of AI in Medical Imaging
基于对抗性的虚拟 CT 工作流程,用于评估医学影像中的人工智能
- 批准号:
10592427 - 财政年份:2022
- 资助金额:
$ 47.11万 - 项目类别:
Human-like automated radiotherapy treatment planning via imitation learning
通过模仿学习制定类似人类的自动放射治疗计划
- 批准号:
10406863 - 财政年份:2021
- 资助金额:
$ 47.11万 - 项目类别:
Human-like automated radiotherapy treatment planning via imitation learning
通过模仿学习制定类似人类的自动放射治疗计划
- 批准号:
10610971 - 财政年份:2021
- 资助金额:
$ 47.11万 - 项目类别:
Intelligent treatment planning for cancer radiotherapy
癌症放疗智能治疗计划
- 批准号:
10190850 - 财政年份:2019
- 资助金额:
$ 47.11万 - 项目类别:
Intelligent treatment planning for cancer radiotherapy
癌症放疗智能治疗计划
- 批准号:
10593946 - 财政年份:2019
- 资助金额:
$ 47.11万 - 项目类别:
Intelligent treatment planning for cancer radiotherapy
癌症放疗智能治疗计划
- 批准号:
10593946 - 财政年份:2019
- 资助金额:
$ 47.11万 - 项目类别:
Intelligent treatment planning for cancer radiotherapy
癌症放疗智能治疗计划
- 批准号:
10363727 - 财政年份:2019
- 资助金额:
$ 47.11万 - 项目类别:
Precise image guidance for liver cancer stereotactic body radiotherapy using element-resolved motion-compensated cone beam CT
使用元素分辨运动补偿锥形束CT精确引导肝癌立体定向放射治疗
- 批准号:
10348153 - 财政年份:2018
- 资助金额:
$ 47.11万 - 项目类别:
相似国自然基金
基于肿瘤病理图片的靶向药物敏感生物标志物识别及统计算法的研究
- 批准号:82304250
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
多模态高层语义驱动的深度伪造检测算法研究
- 批准号:62306090
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
高精度海表反照率遥感算法研究
- 批准号:42376173
- 批准年份:2023
- 资助金额:51 万元
- 项目类别:面上项目
基于新型深度学习算法和多组学研究策略鉴定非编码区剪接突变在肌萎缩侧索硬化症中的分子机制
- 批准号:82371878
- 批准年份:2023
- 资助金额:49 万元
- 项目类别:面上项目
基于深度学习与水平集方法的心脏MR图像精准分割算法研究
- 批准号:62371156
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
相似海外基金
Development of a regional anesthesia guidance system to increase patient access to opioid-sparing analgesia for hip fracture pain
开发区域麻醉引导系统,以增加患者获得髋部骨折疼痛的阿片类药物保留镇痛的机会
- 批准号:
10759550 - 财政年份:2023
- 资助金额:
$ 47.11万 - 项目类别:
Wearable Wireless Respiratory Monitoring System that Detects and Predicts Opioid Induced Respiratory Depression
可穿戴无线呼吸监测系统,可检测和预测阿片类药物引起的呼吸抑制
- 批准号:
10784983 - 财政年份:2023
- 资助金额:
$ 47.11万 - 项目类别:
A mechanistic understanding of treatment-related outcomes of sleep disordered breathing using functional near infrared spectroscopy
使用功能性近红外光谱从机制上理解睡眠呼吸障碍的治疗相关结果
- 批准号:
10565985 - 财政年份:2023
- 资助金额:
$ 47.11万 - 项目类别:
Neural Correlates of Auditory, Visual, and Audiovisual Motion Perception in Macaque Extrastriate Cortex
猕猴纹状体外皮层听觉、视觉和视听运动知觉的神经相关性
- 批准号:
10751148 - 财政年份:2023
- 资助金额:
$ 47.11万 - 项目类别: