Next generation small animal radiation research platform
Next generation small animal radiation research platform
批准号:
10895120
负责人:
Xun Jia
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
项目状态:
未结题
起止时间:
2018-02-09 至 2025-08-31
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
中文摘要
项目总结
英文摘要
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.
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DOI:
10.1364/oe.27.001262
发表时间:
2019-01
期刊:
Optics express
影响因子:
3.8
作者:
[Yuan Xu;Yusi Chen;Z. Tian;X. Jia;Linghong Zhou]
通讯作者:
Yuan Xu;Yusi Chen;Z. Tian;X. Jia;Linghong Zhou
DOI:
10.21037/qims.2019.07.07
发表时间:
2019-07
期刊:
Quantitative imaging in medicine and surgery
影响因子:
2.8
作者:
[Chenyang Shen;Y. Lou;L. Chen;T. Zeng;Michael K. Ng;Lei Zhu;X. Jia]
通讯作者:
Chenyang Shen;Y. Lou;L. Chen;T. Zeng;Michael K. Ng;Lei Zhu;X. Jia
DOI:
10.3390/ijms22126615
发表时间:
2021-06-21
期刊:
International journal of molecular sciences
影响因子:
5.6
作者:
[Lai Y, Jia X, Chi Y]
通讯作者:
Chi Y
DOI:
10.1109/tmi.2018.2823679
发表时间:
2018-06
期刊:
IEEE transactions on medical imaging
影响因子:
10.6
作者:
[Shen C, Gonzalez Y, Chen L, Jiang SB, Jia X]
通讯作者:
Jia X
DOI:
10.1088/1361-6560/abc812
发表时间:
2020-12-22
期刊:
Physics in medicine and biology
影响因子:
3.5
作者:
[Shen C, Tsai MY, Chen L, Li S, Nguyen D, Wang J, Jiang SB, Jia X]
通讯作者:
Jia X
共 17 条
Next generation small animal radiation research platform
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批准号:10680056
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项目类别:
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资助金额:$15.88万
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财政年份:2022
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依托单位:
Adversarially Based Virtual CT Workflow for Evaluation of AI in Medical Imaging
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财政年份:2022
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Adversarially Based Virtual CT Workflow for Evaluation of AI in Medical Imaging
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批准号:10391652
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资助金额:$65.83万
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财政年份:2022
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依托单位:
Human-like automated radiotherapy treatment planning via imitation learning
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批准号:10610971
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项目类别:
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资助金额:$60.6万
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财政年份:2021
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负责人:Xun Jia
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依托单位:
Human-like automated radiotherapy treatment planning via imitation learning
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批准号:10406863
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项目类别:
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资助金额:$59.28万
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财政年份:2021
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负责人:Xun Jia
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依托单位:
Intelligent treatment planning for cancer radiotherapy
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批准号:10363727
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项目类别:
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资助金额:$48.03万
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财政年份:2019
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依托单位:
Intelligent treatment planning for cancer radiotherapy
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批准号:10190850
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项目类别:
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资助金额:$49.01万
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财政年份:2019
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负责人:Xun Jia
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依托单位:
Intelligent treatment planning for cancer radiotherapy
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批准号:10593946
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项目类别:
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资助金额:$48.03万
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财政年份:2019
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负责人:Xun Jia
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依托单位:
Precise image guidance for liver cancer stereotactic body radiotherapy using element-resolved motion-compensated cone beam CT
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批准号:10112840
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项目类别:
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资助金额:$39.27万
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财政年份:2018
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负责人:Xun Jia
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依托单位:
Next generation small animal radiation research platform
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批准号:10331746
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项目类别:
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资助金额:$26.62万
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财政年份:2018
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负责人:Xun Jia
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依托单位:
Precise image guidance for liver cancer stereotactic body radiotherapy using element-resolved motion-compensated cone beam CT
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批准号:10674275
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项目类别:
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资助金额:$34.72万
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财政年份:2018
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负责人:Xun Jia
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依托单位:
Precise image guidance for liver cancer stereotactic body radiotherapy using element-resolved motion-compensated cone beam CT
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批准号:10348153
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项目类别:
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资助金额:$6.68万
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财政年份:2018
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负责人:Xun Jia
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依托单位:
Explore random sampling for dose reduction and scatter removal in cone beam CT
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批准号:9282422
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项目类别:
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资助金额:$24.04万
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财政年份:2016
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负责人:Xun Jia
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依托单位:
4D cone beam CT reconstruction for radiotherapy via motion vector optimization
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批准号:8824420
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资助金额:$20.19万
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财政年份:2014
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负责人:Xun Jia
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依托单位:
4D cone beam CT reconstruction for radiotherapy via motion vector optimization
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批准号:8935775
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项目类别:
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资助金额:$24.23万
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财政年份:2014
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负责人:Xun Jia
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依托单位:
A progressive cone-beam CT dose control scheme for image-guided radiation therapy
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批准号:8882347
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项目类别:
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资助金额:$20.75万
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财政年份:2014
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负责人:Xun Jia
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依托单位:
A progressive cone-beam CT dose control scheme for image-guided radiation therapy
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批准号:8691950
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项目类别:
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资助金额:$17.29万
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财政年份:2014
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负责人:Xun Jia
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依托单位:
海外基金