Q-Space Trajectories for Fast Diffusion Spectrum-based High-Definition Fiber Trac
Q-Space Trajectories for Fast Diffusion Spectrum-based High-Definition Fiber Trac
批准号:
9124951
负责人:
Fernando E Boada
金额:
$46.21万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-15 至 2018-07-31
关键词:
AlgorithmsArchitectureAutistic DisorderBrainBrain ConcussionClinicalCommunitiesDataData SetDevelopmentDiagnosisDiffusionDiseaseEvaluationFiberFourier TransformHealthHuman VolunteersLeadLocationMagnetic Resonance ImagingMeasurementMeasuresMethodologyMonitorMorbidity - disease rateNatureNeuronsNeurosurgeonNoiseOperative Surgical ProceduresPhaseProceduresRadialReproducibilityResolutionRoleSamplingScanningSchemeSignal TransductionSliceSpeedStructureSyndromeTimeValidationWorkbasedata acquisitiondensitydiffusion weightedimprovedinterestnovelpost-traumatic stresspreventspectrographtoolwhite matter
中文摘要
描述(由申请人提供):本提案致力于基于q空间中径向轨迹的新型扩散光谱成像(DSI)采样方案的开发和评估。我们的初步数据表明,这种方案可以更准确地描述方向分布函数和更快的数据采集时间。这个
英文摘要
DESCRIPTION (provided by applicant): This proposal is devoted to the development and evaluation of novel diffusion spectrum imaging (DSI) sampling schemes based on the use of radial trajectories in q-space. Our preliminary data demonstrate that such schemes lead to more accurate depictions of the orientation distribution function and faster data acquisition times. The
potential improvements in data acquisition time are significant and could lead to data acquisition times as short as 5 minutes. Such short data acquisition times should be instrumental in allowing the use and validation of DSI-based tractography algorithms in a clinical setting.
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