RTE/FDPM for optical imaging of cancer in small animal models
RTE/FDPM 用于小动物模型癌症光学成像
基本信息
- 批准号:7219015
- 负责人:
- 金额:$ 36.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-03-01 至 2009-08-31
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalAlgorithmsAnimal ModelAnimalsAreaArtsBacterial InfectionsBioluminescenceClinicalComputer softwareConditionContrast MediaCouplesCyclotronsDataDevelopmentDiffusionDiseaseDisseminated Malignant NeoplasmEngineeringEquationEvaluationEventFiberFluorescenceFluorescent DyesFrequenciesGene DeliveryGenerationsGovernmentHalf-LifeHeterogeneityHybridsImageIsotopesLabelLightLuciferasesLymph Node MappingMalignant NeoplasmsMeasurementMedicineMetabolismMethodsModalityModelingMusNoiseNuclearNumbersOptical TomographyOpticsPeptidesPersonal SatisfactionPersonsPharmacologic SubstancePhasePhotonsPositron-Emission TomographyProcessProductionProteinsPurposeRadioRadioactiveRecoveryResearchResolutionSignal TransductionSmall Animal Imaging SystemsSolutionsSourceStem cellsSurfaceSystemTechnologyTestingTexasTherapeutic AgentsTimeTissuesUniversitiesValidationVirusVisible RadiationWorkXenograft procedurebasecollegeconceptdata acquisitiondetectordrug discoveryfluorophorefundamental researchimage reconstructionimprovedin vivoinhibitor/antagonistlight emissionluciferinmelanomamigrationmolecular imagingoptical imagingpre-clinicalprofessorradiotracerreconstructionresearch studysimulationsingle photon emission computed tomographysoftware systemstime usetomographytumor
项目摘要
DESCRIPTION (provided by applicant): In the proposed Phase II research, a commercially viable software reconstruction platform, employing the solution of the radiative transport equation (RTE), will be developed for accurate and robust in vivo imaging of fluorescent targets in small animals. Although small animal optical tomography systems have recently been introduced, current systems do not employ fluorescence or bioluminescence, which have been confined to planar projections. In addition, current optical tomography systems rely on the use of time independent measurements and reconstruction algorithms based on the diffusion approximation. However, it is well known that the small volumes and heterogeneities in mice present conditions where the diffusion approximation is not valid. Realizing this, transport based solutions of the RTE have been researched as a promising alternative. However, approaches to date have relied on numerical methods which do not have the accuracy or efficiency required for commercial deployment. In the Phase I research, Transpire's algorithms for solving the RTE were successfully applied towards a proof-of-concept process, employing BCM's expertise in frequency-domain photon migration (FPDM), for reconstruction of fluorophore concentrations in a 3-D mouse phantom. Phase II research will extend this work to develop an RTE based, tomographic reconstruction software platform for FDPM photon migration. The specific aims are: (1) to develop an optimized 3-D RTE solver for modeling excitation and emission light propagation in forward and adjoint modes, streamlined for small animal imaging conditions with non-contact, non-matching mediums; (2) to develop an adaptive non-linear algorithm employing forward and adjoint RTE solutions for fluorescence yield reconstructions in small animal volumes; (3) to enable hybrid microCT/optical imaging by developing automatic grid generation from microCT images; (4) to integrate the above components into an automated software system for FDPM tomographic reconstruction; and (5) to quantitative demonstrate commercial viability through imaging of a peptide targeted NIR and visible fluorescent contrast agent in xenograft mice. Successful completion of Phase II will result in an automated software product, when combined with BCM's expertise in hardware technologies for frequency-domain fluorescence small animal imaging, can result in a commercially viable small animal imaging system. The proposed Phase II research will substantially advance the state-of-the-art in optical small animal imaging, which could enhance drug discovery as well as contribute significantly to new understanding of disease processes. Through preclinical validation, the proposed research can ultimately be migrated towards clinical imaging in areas such as lymph node mapping and tumor margin definition in melanoma.
描述(由申请人提供):在拟定的II期研究中,将开发一种商业上可行的软件重建平台,采用辐射传输方程(RTE)的解,用于小动物体内荧光靶点的准确和稳健的体内成像。尽管最近已经引入了小动物光学断层扫描系统,但是当前的系统不采用荧光或生物发光,其已经被限制于平面投影。此外,当前的光学层析成像系统依赖于使用基于扩散近似的时间无关测量和重建算法。然而,众所周知,小鼠的小体积和异质性呈现扩散近似无效的情况。认识到这一点,基于传输的解决方案的RTE已被研究作为一个有前途的替代方案。然而,迄今为止的方法依赖于数值方法,其不具有商业部署所需的准确性或效率。在第一阶段的研究中,用于解决RTE的Transpire算法被成功地应用于概念验证过程,采用了TMF在频域光子迁移(FPDM)方面的专业知识,用于重建三维小鼠模型中的荧光团浓度。第二阶段的研究将扩展这项工作,开发一个基于RTE,断层重建软件平台的FDPM光子迁移。具体目标是:(1)开发优化的3-D RTE解算器,用于在前向和伴随模式中对激发和发射光传播进行建模,简化用于具有非接触、非匹配介质的小动物成像条件;(2)开发采用前向和伴随RTE解算器的自适应非线性算法,用于小动物体积中的荧光产率重建;(3)通过开发从microCT图像自动生成网格来实现混合microCT/光学成像;(4)将上述组件集成到用于FDPM断层摄影重建的自动软件系统中;和(5)通过肽靶向NIR和可见荧光造影剂在异种移植小鼠中的成像定量证明商业可行性。第二阶段的成功完成将产生一个自动化的软件产品,当与西门子在频域荧光小动物成像硬件技术方面的专业知识相结合时,可以产生一个商业上可行的小动物成像系统。拟议的第二阶段研究将大大推进光学小动物成像的最新技术,这可以促进药物发现,并为疾病过程的新认识做出重大贡献。通过临床前验证,拟议的研究最终可以迁移到临床成像领域,如淋巴结映射和黑色素瘤的肿瘤边缘定义。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
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 }}
TODD A WAREING其他文献
TODD A WAREING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('TODD A WAREING', 18)}}的其他基金
RTE/FDPM for optical imaging of cancer in small animal models
RTE/FDPM 用于小动物模型癌症光学成像
- 批准号:
7940245 - 财政年份:2009
- 资助金额:
$ 36.5万 - 项目类别:
RTE/FDPM for optical imaging of cancer in small animal
RTE/FDPM 用于小动物癌症光学成像
- 批准号:
6934775 - 财政年份:2005
- 资助金额:
$ 36.5万 - 项目类别:
Deterministic Radiotherapy Dose Calculation Method
确定性放疗剂量计算方法
- 批准号:
6883471 - 财政年份:2005
- 资助金额:
$ 36.5万 - 项目类别:
RTE/FDPM for optical imaging of cancer in small animal models
RTE/FDPM 用于小动物模型癌症光学成像
- 批准号:
7499693 - 财政年份:2005
- 资助金额:
$ 36.5万 - 项目类别:
Deterministic Radiotherapy Dose Calculation Method
确定性放疗剂量计算方法
- 批准号:
7465443 - 财政年份:2005
- 资助金额:
$ 36.5万 - 项目类别:
Deterministic Radiotherapy Dose Calculation Method
确定性放疗剂量计算方法
- 批准号:
7325320 - 财政年份:2003
- 资助金额:
$ 36.5万 - 项目类别:
相似海外基金
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 36.5万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 36.5万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 36.5万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 36.5万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 36.5万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 36.5万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 36.5万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 36.5万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 36.5万 - 项目类别:
Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 36.5万 - 项目类别:
Research Grant