Improving SENSE MRI for Spiral and Echo-planar Imaging in Stroke
Improving SENSE MRI for Spiral and Echo-planar Imaging in Stroke
批准号:
7642393
负责人:
ROLAND BAMMER
金额:
$44.63万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-19 至 2011-06-30
关键词:
AbdomenAcuteAgreementAlgorithmsAngiographyAreaArteriesAttentionBloodBlood VesselsBlood VolumeBrainBrain IschemiaBrain StemBrain hemorrhageCalibrationCardiacCause of DeathCerebrovascular CirculationCircle of WillisClinicalColorDataDetectionDevelopmentDiagnosisDiagnosticDiagnostic SensitivityDiagnostic testsDiffusionDiffusion weighted imagingDiseaseEcho-Planar ImagingEconomic BurdenElementsEvaluationFundingGenerationsGoalsHemorrhageHourHybridsImageInfarctionInjuryInterventionInvestigationIschemic StrokeLesionMRI ScansMagnetic Resonance ImagingMapsMeasurementMeasuresMechanicsMetalsMethodsModalityMorbidity - disease rateMorphologic artifactsMotionMotivationNeurologistNoiseOutcomePatientsPatternPerfusionPhysiologic pulseProspective StudiesProtocols documentationPsychophysiologyReperfusion TherapyResearchResearch PersonnelResolutionRiskSamplingScanningSchemeSensitivity and SpecificitySpeedStenosisStrokeSubgroupSurrogate MarkersSymptomsTechniquesTestingTherapeuticTimeTissuesTriageUpper armWeightacute strokebaseclinically relevantcomparativecone-beam computed tomographydetectordiagnostic accuracydisabilityhigh riskimage reconstructionimaging modalityimpressionimprovedinformation classificationinnovationischemic lesionmortalitynovelparallel computingpreventprogramsreconstructionsuccesstechnology developmentthrombolysistoolvolunteer
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): MOTIVATION - Ischemic stroke is a common and often devastating condition that continues to be a leading cause of death and disability worldwide. Successful treatment will have a great impact on stroke morbidity and will reduce the socio-economic burden associated with this debilitating disease. Considerable data are now available indicating that MR-based DWI, PWI, and MRA are useful for identifying subgroups of patients who are particularly likely to benefit from, rather than be harmed by, reperfusion therapy. The advancement of multi-detector CT (MDCT) has also improved the diagnostic evaluation of acute stroke patients and a comparative evaluation of optimal exams from both modalities is timely. AIMS - This project has a technology development arm in which MRI methods for DWI, PWI and CE- MRA are improved further, and a clinical arm in which these methods are evaluated in acute stroke patients and MRI's diagnostic sensitivity and specificity as well as clinical yield is compared with the best available MDCT methods (CT, CTP, CTA). METHODS - Parallel imaging will be a major theme of this project. Specifically, acquisition and fast reconstruction methods for spiral, PROPELLER, and Cartesian data will be improved. DWI and PWI methods will be developed to improve quantitation while simultaneously reducing geometric distortions and motion artifacts and significantly improving spatial resolution. New contrast-enhanced MRA acquisition schemes and reconstruction methods will be developed. The development of DWI, PWI, and CE-MRA will be followed by extensive phantom and volunteer studies to assess the image quality. The diagnostic sensitivity and specificity as well as the clinical yield of these optimized MR methods will be compared in 120 consecutive acute stroke patients (within 6-i2hrs after onset of symptoms) with the most optimal perfusion and angiographic methods afforded by a 64-channel MDCT. SIGNIFICANCE - The success of this research effort will serve to significantly improve multi-coil parallel imaging acquisition and reconstruction methods. Clinically, we anticipate that this prospective study will provide a better understanding of the diagnostic capability of both MRI and MDCT for imaging acute stroke patients. Moreover, it will provide tools to help identify patients who will benefit from reperfusion therapies and to exclude patients who are at high risk for reperfusion-related brain hemorrhage.
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资助金额:$40.0万
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