TR&D 2: Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines
TR
基本信息
- 批准号:10701718
- 负责人:
- 金额:$ 28.33万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-30 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:AlgorithmsAnatomyAreaAutomobile DrivingBooksCharacteristicsClinicalClinical ResearchComplexComputer SimulationComputer softwareDedicationsDevelopmentDiffusionDoctor of PhilosophyDoseEngineeringEnsureEnvironmentEvaluationEvolutionExtramural ActivitiesFeedbackFocused UltrasoundFundingFutureGenus MenthaGeometryGleanGoalsGrantGravitationHeatingImageImage EnhancementImaginationImaging technologyInfluentialsJointsLegal patentLightMagnetic Resonance ImagingMapsMethodsMissionModalityModelingModernizationMorphologic artifactsMorphologyMotionNatureNoiseNuclearOpticsPaperPatternPeer ReviewPerformancePhilosophyPhysiologic MonitoringPhysiologyPopulationPositron-Emission TomographyPropertyPublishingRelaxationResearchResourcesSafetySelf CorrectionSeriesSignal TransductionSpeedStreamSystemTechnologyTemperatureTestingThinkingTranslational ResearchUltrasonic TransducerVariantWorkattenuationbiomedical imagingbiophysical propertiesclinical practicedata streamsdenoisingdesigndetection platformdetectordigitalexperienceflexibilityimaging capabilitiesimaging modalityinnovationmeetingsnovelnovel strategiesphysical propertyprototyperadio frequencyreconstructionsensorsimulationsuccesstechnology developmenttechnology research and developmenttooltransmission processvirtual
项目摘要
TRD2 Project Summary
The broad mission of our Center for Advanced Imaging Innovation and Research (CAI2R) is to bring
together collaborative translational research teams for the development of high-impact biomedical imaging
technologies, with the ultimate goal of changing day-to-day clinical practice. Technology Research and
Development (TR&D) Project 2 aims to re-evaluate biomedical imaging hardware in light of rapidly evolving
modern capabilities for image acquisition and reconstruction. We have leading expertise in the development of
novel and state-of-the-art radiofrequency (RF) detectors and transmitters for high-performance magnetic
resonance imaging (MRI). We will continue to develop advanced RF technologies, along with enabling tools
for physiology-based safety assurance in MRI, and tools for evaluation as well as optimization of advanced
imaging methods. We will also explore what information can be gleaned from new types of sensors, including
unconventional flexible RF detector arrays and a broad array of other emerging sensing modalities. The
prospect of self-driving cars, continuously probing their environment with LIDAR and other sensors, has
captured the public imagination. We will explore what may be required for an analogous model of “self-driving
scanners,” outfitted with a sufficient number and variety of sensors to be able to navigate through substantial
inhomogeneities and dynamic variations in imaging conditions.
TRD2项目摘要
我们高级成像创新与研究中心(CAI2R)的广泛使命是
共同开发高影响生物医学成像的合作转化研究团队
技术,其最终目标是改变日常临床实践。技术研究和
开发(TR&D)项目2旨在根据快速发展的生物医学成像硬件重新评估生物医学成像硬件
图像获取和重建的现代功能。我们在发展方面拥有领先的专业知识
新颖和最先进的射频(RF)检测器和发射器,用于高性能磁
共振成像(MRI)。我们将继续开发先进的RF技术,以及启用工具
用于基于生理学的MRI的安全保证,以及评估工具以及优化高级的
成像方法。我们还将探讨可以从新类型的传感器中收集哪些信息,包括
非常规的柔性RF检测器阵列和各种各样的其他新兴灵敏度。这
自动驾驶汽车的前景,不断使用LIDAR和其他传感器探测环境,具有
吸引了公众的想象力。我们将探讨类似模型的“自动驾驶
扫描仪,“配备了足够数量和各种传感器,能够通过大量导航
成像条件下的不均匀性和动态变化。
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)
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Christopher M Collins其他文献
Inferring energy-composition relationships with Bayesian optimization enhances exploration of inorganic materials.
通过贝叶斯优化推断能量成分关系可以增强对无机材料的探索。
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:4.4
- 作者:
A. Vasylenko;Benjamin Asher;Christopher M Collins;M. Gaultois;G. Darling;M. Dyer;M. Rosseinsky - 通讯作者:
M. Rosseinsky
Christopher M Collins的其他文献
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{{ truncateString('Christopher M Collins', 18)}}的其他基金
Next-Generation RF Coils with High-Permittivity Material for Improved Performance in MRI
采用高介电常数材料的下一代射频线圈可提高 MRI 性能
- 批准号:
9007398 - 财政年份:2016
- 资助金额:
$ 28.33万 - 项目类别:
TR&D 2: Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines
TR
- 批准号:
10246948 - 财政年份:2014
- 资助金额:
$ 28.33万 - 项目类别:
TR&D 2: Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines
TR
- 批准号:
10453645 - 财政年份:2014
- 资助金额:
$ 28.33万 - 项目类别:
TR&D 2: Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines
TR
- 批准号:
9804441 - 财政年份:2014
- 资助金额:
$ 28.33万 - 项目类别:
RF Technology Innovation for Advancing High Field MR.
推动高场 MR 发展的射频技术创新。
- 批准号:
8433352 - 财政年份:2011
- 资助金额:
$ 28.33万 - 项目类别:
RF Technology Innovation for Advancing High Field MR.
推进高场 MR 的射频技术创新。
- 批准号:
8608523 - 财政年份:2011
- 资助金额:
$ 28.33万 - 项目类别:
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