Multi-channel Receiver Integrated With Reconfigurable Processors for MRI
Multi-channel Receiver Integrated With Reconfigurable Processors for MRI
批准号:
9375046
负责人:
Limin Li
金额:
$21.34万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2019-06-30
关键词:
AddressArchitectureBrainCharacteristicsCommunitiesComputersDataDevelopmentDevicesElectronicsFoundationsFutureGenerationsGoalsImageIndividualLeadLocationMagnetic Resonance ImagingMethodsOutcomeOutputPerformancePhysiologic pulseProcessResearchResearch PersonnelResolutionRunningSignal TransductionSliceSpeedStructureSystemTestingTimeVariantWorkanalogbasecomputerized data processingcost effectivecost efficientdata acquisitiondata managementdesigndesign and constructiondigitalexperienceexperimental studyflexibilityimage processingimage reconstructionimaging systeminnovationmagnetic fieldneuroimagingnovelparallel processingprogramsprototypesignal processingtool
中文摘要
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英文摘要
Project Summary/Abstract
This project proposes to develop a receiver system for high-speed MRI. This novel system will integrate a
digital receiver with reconfigurable real-time processors in order to receive MR signals and process image in
real time during an MRI experiment. The receiver system will be built on a single integrated-circuits (IC) chip of
a Field Programmable Gate Array (FPGA). The architecture of the receiver will include developed modules for
the analog RF front end, digital baseband signal demodulation, receive control, in-line data correction and
image reconstruction. By taking advantage of the parallel processing capability of FPGAs, the receiver will not
only control the multiple processing modules running simultaneously, but also allow real-time inter-module
interactions. This capability will enable high-speed MRI and offers the potential for expansion to true dynamic
stabilization of the system hardware in the future work. We describe a research plan for the design,
construction and testing of all individual modules, for the integration of these modules into a functional receiver
system prototype, and for incorporating this system into our Bruker 9.4T MRI scanner. The architecture of the
receiver will be implemented on a commercially-available FPGA board and thus the design approach will be
easily be shared with other research labs in MRI community. We anticipate that integrating the proposed
receiver with an MRI scanner will offer a cost-efficient, flexible tool for achieving high-speed imaging and
suppressing data errors induced by system perturbations. This system will be particularly valuable for a variety
of applications in the fields of functional and connectivity neuroimaging using MRI.
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