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.
结合定量MR(qMR)与PET协同提供完美的注册,
互补的生理生物标志物。我们在最初的融资周期,Y1-4,
我们的P41在定量PET/MR中的应用,为一些最棘手的问题提供了解决方案
影响PET/MR,包括衰减校正的可靠和准确校正,
主体无意识运动这些技术实现PET分辨率接近固有分辨率
扫描仪的功能,并实现了一系列新颖的PET/MR应用。在此更新申请中,我们将
开发和提供独特的PET/MR成像技术,不仅能够实现生理高,
影响新型PET/MR,但也将有利于独立的MR研究。我们专注于多方面的工作,
通过利用我们最近在子空间/流形建模方面的突破,
MR物理学为深度学习(DL)和多对比度超快速MR序列提供了信息。我们提出的
研究集中在开发和提供新的PET/MR成像技术,沿着三个轴:i)
用于运动校正的全心脏膜的多参数、自由运行的心脏MRI方法
使用PET/MR的潜在成像; ii)用于多模态,多参数,
使用PET/MR的分子成像;以及iii)使用深度成像的超快速、多组分定量MR。
学习和MR物理建模。我们将在TR&D3 PET/MR轴上验证所提出的方法
研究并通过与我们的合作项目的合作。我们会利用DL
TR&D2中提出的进一步提高定量PET/MR图像质量的方法
在TR&D1技术。
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 }}
Georges El Fakhri其他文献
Georges El Fakhri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('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 & Translation (CMITT)
分子成像技术中心
- 批准号:
10651760 - 财政年份:2017
- 资助金额:
$ 34.67万 - 项目类别:
相似海外基金
EXCESS: The role of excess topography and peak ground acceleration on earthquake-preconditioning of landslides
过量:过量地形和峰值地面加速度对滑坡地震预处理的作用
- 批准号:
NE/Y000080/1 - 财政年份:2024
- 资助金额:
$ 34.67万 - 项目类别:
Research Grant
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328975 - 财政年份:2024
- 资助金额:
$ 34.67万 - 项目类别:
Continuing Grant
SHINE: Origin and Evolution of Compressible Fluctuations in the Solar Wind and Their Role in Solar Wind Heating and Acceleration
SHINE:太阳风可压缩脉动的起源和演化及其在太阳风加热和加速中的作用
- 批准号:
2400967 - 财政年份:2024
- 资助金额:
$ 34.67万 - 项目类别:
Standard Grant
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328973 - 财政年份:2024
- 资助金额:
$ 34.67万 - 项目类别:
Continuing Grant
Market Entry Acceleration of the Murb Wind Turbine into Remote Telecoms Power
默布风力涡轮机加速进入远程电信电力市场
- 批准号:
10112700 - 财政年份:2024
- 资助金额:
$ 34.67万 - 项目类别:
Collaborative R&D
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328972 - 财政年份:2024
- 资助金额:
$ 34.67万 - 项目类别:
Continuing Grant
Collaborative Research: A new understanding of droplet breakup: hydrodynamic instability under complex acceleration
合作研究:对液滴破碎的新认识:复杂加速下的流体动力学不稳定性
- 批准号:
2332916 - 财政年份:2024
- 资助金额:
$ 34.67万 - 项目类别:
Standard Grant
Collaborative Research: A new understanding of droplet breakup: hydrodynamic instability under complex acceleration
合作研究:对液滴破碎的新认识:复杂加速下的流体动力学不稳定性
- 批准号:
2332917 - 财政年份:2024
- 资助金额:
$ 34.67万 - 项目类别:
Standard Grant
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328974 - 财政年份:2024
- 资助金额:
$ 34.67万 - 项目类别:
Continuing Grant
Study of the Particle Acceleration and Transport in PWN through X-ray Spectro-polarimetry and GeV Gamma-ray Observtions
通过 X 射线光谱偏振法和 GeV 伽马射线观测研究 PWN 中的粒子加速和输运
- 批准号:
23H01186 - 财政年份:2023
- 资助金额:
$ 34.67万 - 项目类别:
Grant-in-Aid for Scientific Research (B)














{{item.name}}会员




