State of the Art 3T Research Scanner
State of the Art 3T Research Scanner
批准号:
9075657
负责人:
Peter CM Van Zijl
金额:
$199.9万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-04-15 至 2018-04-14
关键词:
AddressAlgorithmsBehaviorComputersDetectionDevelopmental DisabilitiesDiffusionDiffusion Magnetic Resonance ImagingDiseaseFrequenciesFunctional Magnetic Resonance ImagingFundingFutureGrantHead and neck structureHumanImageMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMotionNoisePhysiologic pulsePhysiologicalProcessResearchResearch InstituteResearch PersonnelResolutionScanningSignal TransductionSliceSystemTimeUnited States National Institutes of HealthUniversitiesconnectomediffusion weighteddigitalend of lifeimprovedmagnetic fieldprismaradiofrequencyreconstructionspectrographspectroscopic imaging
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): We propose to purchase a state of the art 3T MRI scanner (Siemens MAGNETOM Prisma) in order to replace our end-of-life 3 Tesla Philips research scanner at the F.M. Kirby Research Center of the Hugo Moser Research Institute at Kennedy Krieger (KKI), which cannot be upgraded to the newest digital Philips Achieva system. This scanner replacement is necessary to address the needs of many investigators at the KKI and Johns Hopkins University (JHU) who have 15 NIH-funded grants with specific aims that strongly benefit from the improved technical capabilities provided by this upgrade. These investigators use the 3T system for structural MRI, functional MRI (fMRI), quantitative physiological MRI, magnetic resonance spectroscopy (MRS) and spectroscopic imaging (MRSI), and diffusion tensor imaging (DTI) for the study of human behavior and a large range of diseases and developmental disabilities. The main features of importance for us on the Prisma are availability of 1) magnetic field gradient hardware with the highest simultaneous strength (80 mT/m) and slew rate (200 mT/m/s), 2) a completely digital radiofrequency (RF) transmit/receive system with 3) 128 receive channels; 4) a 64-channel head and neck coil; 5) improved field and frequency stability; 6) availability of advanced simultaneous multi-slice (SMS) and multiband (MB) packages both from Siemens and from advanced Siemens users leading the human connectome project (HCP); 7) we will have the fastest reconstruction computer available on an MRI scanner with full user control. This scanner will provide a large range of benefits for our users, including but not limited to: improved signal to noise ratio (SNR) for all applications due o reduced noise in the digital receive system, which can be used for better detection of small signals, finer spatial resolution, and/or faster scans. SNR is further increased for DTI scans due to shorter echo time (TE) attainable with higher gradient strength (shorter diffusion time) and slew rate (shorter readout time). The availability of 128 receive channels provides a future path to high-end "connectome-type" RF hardware. The first commercially available 64-channel coil is expected to provide modestly improved SNR compared to 32-channel as well as an improved g-factor for parallel imaging, especially for controlled aliasing in SMS/MB imaging. Improved frequency stability compared to our current system will provide benefits for a) improved signal intensity stability for dynamic scans; b) absence of spatial image drift under high duty cycle gradient use such as in diffusion spectrum imaging (DSI) with many orientations and strong diffusion weighting; c) improved spectral editing with selective pulse excitation; d) improved CEST-MRI frequency referencing. Finally, user control of the reconstruction computer allows on- scanner processing of HCP-type acquisition sequences and real-time motion-correction algorithms.
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专著(0)
科研奖励(0)
会议论文
Training and Dissemination
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批准号:10439907
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项目类别:
-
资助金额:$6.56万
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财政年份:2021
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负责人:Peter CM Van Zijl
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依托单位:
Center Administration
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批准号:10270097
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项目类别:
-
资助金额:$66.57万
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财政年份:2021
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负责人:Peter CM Van Zijl
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依托单位:
TRD 3: MRI parameters reflecting tissue composition and microstructure
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批准号:10270100
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项目类别:
-
资助金额:$17.47万
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财政年份:2021
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负责人:Peter CM Van Zijl
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依托单位:
Center Administration
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批准号:10439902
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项目类别:
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资助金额:$29.57万
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财政年份:2021
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负责人:Peter CM Van Zijl
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依托单位:
TRD 3: MRI parameters reflecting tissue composition and microstructure
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批准号:10439905
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项目类别:
-
资助金额:$19.44万
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财政年份:2021
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负责人:Peter CM Van Zijl
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依托单位:
Center Administration
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批准号:10614605
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项目类别:
-
资助金额:$29.88万
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财政年份:2021
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负责人:Peter CM Van Zijl
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依托单位:
Training and Dissemination
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批准号:10270102
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项目类别:
-
资助金额:$5.9万
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财政年份:2021
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负责人:Peter CM Van Zijl
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依托单位:
Training and Dissemination
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批准号:10614622
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项目类别:
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资助金额:$6.63万
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财政年份:2021
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负责人:Peter CM Van Zijl
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依托单位:
TRD 3: MRI parameters reflecting tissue composition and microstructure
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批准号:10614612
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项目类别:
-
资助金额:$19.65万
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财政年份:2021
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负责人:Peter CM Van Zijl
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依托单位:
NEUROIMAGING CORE
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批准号:10677602
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项目类别:
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资助金额:$21.98万
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财政年份:2020
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负责人:Peter CM Van Zijl
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依托单位:
NEUROIMAGING CORE
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批准号:10085601
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项目类别:
-
资助金额:$21.98万
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财政年份:2020
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负责人:Peter CM Van Zijl
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依托单位:
NEUROIMAGING CORE
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批准号:10227216
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项目类别:
-
资助金额:$21.94万
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财政年份:2020
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负责人:Peter CM Van Zijl
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依托单位:
NEUROIMAGING CORE
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批准号:10450075
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项目类别:
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资助金额:$21.98万
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财政年份:2020
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负责人:Peter CM Van Zijl
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依托单位:
Development and Translation of D-glucose as a Diagnostic Agent for MRI of Cancer
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批准号:8854375
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项目类别:
-
资助金额:$116.3万
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财政年份:2015
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负责人:Peter CM Van Zijl
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依托单位:
Academic-Industrial Partnership to Develop Clinical Brain Cancer Imaging
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批准号:8437368
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项目类别:
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资助金额:$49.14万
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财政年份:2013
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负责人:Peter CM Van Zijl
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依托单位:
Academic-Industrial Partnership to Develop Clinical Brain Cancer Imaging
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批准号:8613473
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项目类别:
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资助金额:$44.91万
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财政年份:2013
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负责人:Peter CM Van Zijl
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依托单位:
Academic-Industrial Partnership to Develop Clinical Brain Cancer Imaging
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批准号:8997457
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项目类别:
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资助金额:$43.26万
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财政年份:2013
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负责人:Peter CM Van Zijl
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依托单位:
Exchange Transfer based Molecular MRI
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批准号:8566682
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项目类别:
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资助金额:$30.49万
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财政年份:2012
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负责人:Peter CM Van Zijl
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依托单位:
Novel Approaches for CEST Labeling, Detection, Quantification and Translation
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批准号:8292547
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项目类别:
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资助金额:$47.74万
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财政年份:2011
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负责人:Peter CM Van Zijl
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依托单位:
CEST IMAGING OF GLYCOGEN
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批准号:8363910
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项目类别:
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资助金额:$1.61万
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财政年份:2011
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负责人:Peter CM Van Zijl
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依托单位:
海外基金