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Home arrow Computer Science arrow Computational Diffusion MRI: MICCAI Workshop, Athens, Greece, October 2016

Computational Diffusion MRI: MICCAI Workshop, Athens, Greece, October 2016


The MR Physics of Advanced Diffusion ImagingIntroductionThe Continuity Equation for Vector-Valued QuantitiesContinuity of Magnetisation: The Bloch-Torrey EquationThe Bloch Terms as Sources and SinksThe Flux Terms: Transport ProcessesT- and T2-WeightedImagingDiffusion Tensor ImagingVelocity-Weighted Phase ContrastStretched-Exponentials and Space-Fractional Super-DiffusionDiffusion Kurtosis ImagingMultiple ContinuaModels with Boundary ConditionsSpherical DeconvolutionContinuous Parametric CompartmentsOther ModelsRandom Permeable BarriersFractional DiffusionDiscussionReferences Noise Floor Removal via Phase Correction of Complex Diffusion-Weighted Images: Influence on DTI and q-Space MetricsIntroductionMethodsSimulation and Diffusion Signal ReconstructionExperiments and ResultsConclusionReferencesRegularized Dictionary Learning with Robust Sparsity Fitting for Compressed Sensing Multishell HARDIIntroduction and Related WorkMethodsDictionary Learning for Multishell HARDICompressed Sensing Multishell HARDIResults and ConclusionConclusionReferencesDenoising Diffusion-Weighted Images Using Grouped Iterative Hard Thresholding of Multi-Channel FrameletsIntroductionApproachTight FrameletsProblem FormulationOptimizationSetting the WeightsExperimental ResultsDatasetsResultsConclusionReferencesDiffusion MRI Signal Augmentation: From Single Shell to Multi Shell with Deep LearningIntroductionMaterialNeural Network for RegressionSpherical HarmonicsDeep Neural NetworkResultsImpact of Noise and Number of GradientsPrediction of Another ShellDiscussionConclusionReferencesMulti-Spherical Diffusion MRI: Exploring Diffusion Time Using Signal SparsityIntroductionTheoryThe Four-Dimensional Ensemble Average PropagatorMulti-Spherical Signal RepresentationEstimation of т -Dependent q-Space IndicesData Set SpecificationExperiments and ResultsDiscussion and ConclusionReferencesSensitivity of OGSE ActiveAx to Microstructural Dimensions on a Clinical ScannerIntroductionMethodsDiffusion MR ModelPhantom ExperimentsSample PreparationImage AcquisitionData AnalysisData ProcessingActiveAx Model FittingResultsDiscussionReferencesGroupwise Structural Parcellation of the Cortex: A Sound Approach Based on Logistic ModelsIntroductionMethodsData and PreprocessingCortical Connectivity Model and TractographySingle Subject and Groupwise Parcelling MethodologiesExperiments and ResultsReliability of the Clustering Algorithm for the ModelParcelling Subjects From the Human Connectome ProjectFunctional and Anatomical ComparisonAnatomical ComparisonFunctional ComparisonDiscussion and ConclusionReferencesRobust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber DispersionIntroductionApproachPatch FeaturesPatch MatchingMean ShiftExperimental ResultsSynthetic DataReal DataConclusionReferencesParcellation of Human Amygdala Subfields Using Orientation Distribution Function and Spectral K-means ClusteringIntroductionMaterial and MethodsData AcquisitionPost-processingAmygdala SegmentationAmygdala Parcellation: K-mean Spectral ClusteringResultsDiscussion and ConclusionsReferencesSparse Representation for White Matter Fiber Compression and Calculation of Inter-Fiber SimilarityIntroductionMethodsInter-Fiber Similarity and Sparse RepresentationPerformance EvaluationHow Well Do the Sparse Representations Approximate the Original FibersHow Well is the Original Similarity Measure Approximated by CWDSRepresentation of Different Fiber-Sets with Common DictionaryDiscussion and ConclusionsReferencesAn Unsupervised Group Average Cortical Parcellation Using Diffusion MRI to Probe CytoarchitectureIntroductionMethodsData and Pre-ProcessingSurface ReconstructionFeature SpaceClassificationResultsCentral SulcusBroca’s RegionAuditory AreasOccipital AreasGyrificationConclusionReferencesUsing Multiple Diffusion MRI Measures to Predict Alzheimer’s Disease with a TV-L1 PriorIntroductionMethodsData Acquisition and PreprocessingDMRI Reconstruction Models, Scalar Maps, and Spatial NormalizationRegularized Logistic Regression ClassificationResultsDiscussionReferencesAccurate Diagnosis of SWEDD vs. Parkinson Using Microstructural Changes of Cingulum Bundle: Track-Specific AnalysisIntroductionProcedureParticipantsData AcquisitionDiffusion MRI Data Processing, Fibers Tractography and Group AnalysisResultConclusionReferencesColocalization of Functional Activity and Neurite Density Within Cortical AreasIntroductionMaterial and MethodsAcquisitionIndividual NODDI MapsPial and White SurfacesIndividual Quantitative Maps of Neurite DensityCo-localization ofNeurite Density and Functional ActivityS0rensen-Dice CoefficientResults and DiscussionStatistical Evaluation of Left-Right Neurite Density AsymmetriesInvestigation of the Neurite Density in the Sensorymotor CortexInvestigation of the Neurite Density in Language AreasInvestigation of the Neurite Density in the Visual CortexConclusion and PerspectivesReferencesComparison of Biomarkers in Transgenic Alzheimer Rats Using Multi-Shell Diffusion MRIIntroductionMaterials and MethodsProcessing of Transgenic Alzheimer Rat Data SetsDTI MetricsNODDI MetricsMAP-MRI MetricsResultsDiscussionConclusionReferencesWorking Memory Function in Recent-Onset Schizophrenia Patients Associated with White Matter Microstructure: Connectometry ApproachIntroductionMethodParticipantsData AcquisitionDiffusion MRI Data Processing, Group ConnectometryResultConclusionReferences
 
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