TR&D1: Ultra-Fast Multiparametric MR Imaging Methods for Quantitative PET/MR
TR
基本信息
- 批准号:10651766
- 负责人:
- 金额:$ 34.67万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-30 至 2027-04-30
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAccelerationAffectAlgorithmsBiological MarkersCYP1A1 geneCYP1A2 geneCardiacCardiotoxicityCharacteristicsClinicalCollaborationsCompensationComplexComputing MethodologiesDataDegenerative polyarthritisDemyelinationsDiseaseFamily suidaeFibrosisFunctional ImagingFundingHeartHeart failureImageImaging TechniquesImaging technologyImmune responseIndividualInflammationLabelLipidsMagnetic Resonance ImagingMalignant NeoplasmsMapsMeasuresMembrane PotentialsMetabolicMetabolismMethodologyMethodsModelingMolecularMorphologic artifactsMotionMultiple SclerosisMyelin Water ImagingMyocardialNecrosisNoisePathogenesisPerformancePhysicsPhysiologicalPositron-Emission TomographyRadiation therapyResearchResolutionRunningSamplingSoftware ToolsStructureTechniquesTechnologyTimeTissue ModelTissuesWaterWorkattenuationcardiac magnetic resonance imagingclinical practicecomputerized data processingdata acquisitiondata frameworkdata spacedeep learningextracellularferumoxytolhuman datahuman subjectimage reconstructionimage translationimaging biomarkerimaging modalityimprovedlearning strategymagnetic resonance spectroscopic imagingmolecular imagingmonocytemultimodalitynew technologynovelreconstructionremyelinationrespiratorysarcomasequence learningtraffickingtransmission processtumor
项目摘要
Combining quantitative MR (qMR) with PET synergistically provides perfectly registered,
complementary physiological biomarkers. Our pioneering work during the initial funding cycle, Y1-4,
of our P41 in quantitative PET/MR, has provided solutions to some of the most vexing problems
affecting PET/MR, including reliable and accurate corrections for attenuation correction and
involuntary subject motion. These techniques achieve PET resolution close to the intrinsic resolution
of the scanner and enable a range of novel PET/MR applications. In this renewal application, we will
develop and deliver unique PET/MR imaging technologies that not only enable physiological high-
impact novel PET/MR but will also benefit standalone MR research. We focus our efforts on multi-
parametric qMR techniques by leveraging our recent breakthroughs on subspace/manifold modeling,
MR-physics informed deep learning (DL), and multi-contrast ultra-fast MR sequences. Our proposed
research focuses on developing and delivering new PET/MR imaging techniques along three axes: i)
multi-parametric, free-running, cardiac MRI method for motion corrected whole-heart membrane
potential imaging using PET/MR; ii) high resolution MRSI for multi-modality, multi-parametric,
molecular imaging using PET/MR; and iii) ultra-fast, multi-component quantitative MR using deep
learning and MR physics modeling. We will validate the proposed methods in TR&D3 PET/MR axes
of research and through collaborations with our Collaborative Projects. We will leverage the DL
methodologies proposed in TR&D2 to further improve image quality of quantitative PET/MR
techniques in TR&D1.
将定量MR(QMR)与PET协同地提供了完美的注册,
互补的生理生物标记物。我们在最初的资金周期中的开创性工作,Y1-4,
我们在定量PET/MR中的P41,为一些最令人烦恼的问题提供了解决方案
影响PET/MR,包括可靠和准确的衰减校正和
非自愿的主体运动。这些技术实现了接近固有分辨率的PET分辨率
并实现了一系列新颖的PET/MR应用。在此续期申请中,我们将
开发和提供独特的PET/MR成像技术,不仅能够实现生理上的高
Impact新型PET/MR,但也将有利于独立的MR研究。我们专注于多方面的努力
参数QMR技术通过利用我们最近在子空间/流形建模方面的突破,
MR-物理学支持深度学习(DL)和多对比超快MR序列。我们的建议
研究重点是沿着三个轴开发和提供新的PET/MR成像技术:i)
运动校正全心膜的多参数自由运行心脏MRI方法
使用PET/MR的潜在成像;ii)多模式、多参数、高分辨率MRSI
使用PET/MR的分子成像;以及iii)使用DEEP的超高速、多组分定量MR
学习和mr物理建模。我们将在TR&D3PET/MR轴上验证所提出的方法
并通过与我们的协作项目的合作来实现。我们将利用DL
在TR&D2中提出的进一步提高定量PET/MR图像质量的方法
Tr&d1的技巧。
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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Georges El Fakhri其他文献
Georges El Fakhri的其他文献
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{{ truncateString('Georges El Fakhri', 18)}}的其他基金
Methods for Quantitative Neuroimaging of Tau Burden inPre-symptomatic AD
症状前 AD 中 Tau 负载的定量神经影像学方法
- 批准号:
10390919 - 财政年份:2022
- 资助金额:
$ 34.67万 - 项目类别:
Methods for Quantitative Neuroimaging of Tau Burden inPre-symptomatic AD
症状前 AD 中 Tau 负载的定量神经影像学方法
- 批准号:
10554362 - 财政年份:2022
- 资助金额:
$ 34.67万 - 项目类别:
Ultra High Resolution Brain PET Scanner for in-vivo Autoradiography Imaging
用于体内放射自显影成像的超高分辨率脑 PET 扫描仪
- 批准号:
9791189 - 财政年份:2018
- 资助金额:
$ 34.67万 - 项目类别:
Ultra High Resolution Brain PET Scanner for in-vivo Autoradiography Imaging
用于体内放射自显影成像的超高分辨率脑 PET 扫描仪
- 批准号:
10117728 - 财政年份:2018
- 资助金额:
$ 34.67万 - 项目类别:
Ultra High Resolution Brain PET Scanner for in-vivo Autoradiography Imaging
用于体内放射自显影成像的超高分辨率脑 PET 扫描仪
- 批准号:
10237144 - 财政年份:2018
- 资助金额:
$ 34.67万 - 项目类别:
Ultra High Resolution Brain PET Scanner for in-vivo Autoradiography Imaging
用于体内放射自显影成像的超高分辨率脑 PET 扫描仪
- 批准号:
10436281 - 财政年份:2018
- 资助金额:
$ 34.67万 - 项目类别:
Center for Molecular Imaging Technology and Translation (CMITT) -Administration Core
分子成像技术与翻译中心 (CMITT) - 管理核心
- 批准号:
10263166 - 财政年份:2017
- 资助金额:
$ 34.67万 - 项目类别:
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