Gradient-Free Quantitative MRI using a Combination of B1-Selective Excitation and Fingerprinting
Gradient-Free Quantitative MRI using a Combination of B1-Selective Excitation and Fingerprinting
批准号:
10630200
负责人:
William A Grissom
金额:
$66.28万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-06-01 至 2026-02-28
关键词:
3-DimensionalAccelerationAlgorithmsAmplifiersBrainBrain imagingBrain scanClinicalComplexDataDiameterDictionaryDiseaseFingerprintGenerationsHeadHeatingHumanImageLesionLoudnessMRI ScansMachine LearningMagnetic Resonance ImagingMaintenanceMapsMedical ImagingMethodsOutputPatientsPerformancePeripheral Nerve StimulationPhasePhysiologic pulseProcessPropertyRF coilReaderRenaissanceResolutionRotationSafetyScanningSignal TransductionSpeedSystemTechnologyThinkingTissuesTrainingTranslatingVariantcontrast imagingcostcost effectivedesignexperienceexperimental studyflexibilityhuman subjectimaging modalityimprovedin vivomagnetic fieldnoveloperationportabilityquantitative imagingradio frequencyradiologistreconstructionskillstransmission processwirelesswireless transmission
中文摘要
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英文摘要
Project Summary
Magnetic Resonance Imaging (MRI) is one of the most important medical imaging modalities because of its
ability to detect and characterize lesions throughout the body. However, access to MRI is severely limited by its
expensive hardware, complex siting requirements and typically-qualitative images, which require highly skilled
radiologists to interpret. This project proposes a fundamentally new way to encode MRI that could enable sub-
stantially cheaper and more flexible quantitative MRI scanners.
Today the overwhelming majority of MRI scans are encoded using two primary methods: B0 gradients
and parallel imaging using an array of receiver coils. B0 gradients take up a significant fraction of the bore diam-
eter; are loud and induce peripheral nerve stimulation, compromising patient comfort; they have relatively long
switching times due to the high inductance of the coils; they require bulky cooling systems and customized am-
plifiers; they are expensive, representing 25-30% of the cost of a clinical scanner; and they must be carefully
designed and customized to a scanner's B0 magnet. B0 gradient encoding also suffers from spatial errors due to
concomitant terms, which increase with decreasing B0 field strength and will limit the performance of emerging
portable and low-cost MRI systems. Parallel imaging enables scan acceleration by differentiating signals across
large spatial distances, but cannot encode complete images on its own. While some have proposed a third class
of encoding methods using radiofrequency transmit (B1+) gradients, none of the methods described to date have
been translated into clinical use because of practical limits on their performance, stringent hardware requirements
and lack of flexibility in image contrast.
This project will develop and validate a fourth, fundamentally new way to encode MRI based on parallel
transmission using B1+-selective pulses produced by wireless RF coil units with on-coil amplifiers that perform
RF transmission and reception, combined with an acquisition and reconstruction process inspired by MR Finger-
printing (MRF). This new method, Selective Encoding through Nutation and Fingerprinting (SENF), completely
eliminates the need for B0 gradients and is compatible with a wide range of magnet designs and flexible ac-
quisition strategies. Unlike previous B1+ imaging methods, SENF places no strict spatial variation requirements
on the RF gradient fields, which enables flexible system design, and the same coils can be used for spatial en-
coding and signal reception. Furthermore, instead of suffering from errors due to complex spin dynamics during
RF encoding, SENF leverages those dynamics to its advantage to differentiate quantitative tissue parameters.
Successful completion of this project will enable a new generation of cheaper, more accessible, more modular,
and lower-maintenance MRI scanners with quantitative outputs that can be more directly related to disease and
tissue states.
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Discovery and Applied Research for Technological Innovations to ImproveHuman Health
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批准号:10841979
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项目类别:
-
资助金额:$37.41万
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财政年份:2023
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负责人:William A Grissom
-
依托单位:
Gradient-Free Quantitative MRI using a Combination of B1-Selective Excitation and Fingerprinting
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批准号:10390516
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项目类别:
-
资助金额:$65.35万
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财政年份:2022
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负责人:William A Grissom
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依托单位:
RF Encoding for Gradient-Free MRI
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批准号:10380178
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项目类别:
-
资助金额:$36.01万
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财政年份:2020
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负责人:William A Grissom
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依托单位:
RF Encoding for Gradient-Free MRI
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批准号:10215520
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项目类别:
-
资助金额:$35.84万
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财政年份:2020
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负责人:William A Grissom
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依托单位:
Fast Methods for Mapping Focused Ultrasound Pressure Fields
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批准号:9388181
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项目类别:
-
资助金额:$23.57万
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财政年份:2017
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负责人:William A Grissom
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依托单位:
Three-Dimensional Patient-Tailored RF Pulses for Spin Echo Neuroimaging at 7 T
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批准号:8833279
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项目类别:
-
资助金额:$34.27万
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财政年份:2014
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负责人:William A Grissom
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依托单位:
Three-Dimensional Patient-Tailored RF Pulses for Spin Echo Neuroimaging at 7 T
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批准号:9040161
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项目类别:
-
资助金额:$34.49万
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财政年份:2014
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负责人:William A Grissom
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依托单位:
Array-Compressed Parallel Transmission for High Resolution Neuroimaging at 7T
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批准号:10093035
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项目类别:
-
资助金额:$37.88万
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财政年份:2014
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负责人:William A Grissom
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依托单位:
RF Encoding for Gradient-Free MRI
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批准号:8828416
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项目类别:
-
资助金额:$19.0万
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财政年份:2014
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负责人:William A Grissom
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依托单位:
Three-Dimensional Patient-Tailored RF Pulses for Spin Echo Neuroimaging at 7 T
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批准号:8697577
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项目类别:
-
资助金额:$36.18万
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财政年份:2014
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负责人:William A Grissom
-
依托单位:
Three-Dimensional Patient-Tailored RF Pulses for Spin Echo Neuroimaging at 7 T
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批准号:9245685
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项目类别:
-
资助金额:$34.47万
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财政年份:2014
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负责人:William A Grissom
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依托单位:
RF Encoding for Gradient-Free MRI
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批准号:8934100
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项目类别:
-
资助金额:$22.92万
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财政年份:2014
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负责人:William A Grissom
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依托单位:
海外基金