Man pages for bozenne/MRIaggr
Management, Display, and Processing of Medical Imaging Data

Carto3D-classclass "Carto3D"
Carto3D-constCarto3DArray constructor for Carto3D objects
Data-MRIaggr.Pat1_redExample of processed MRIaggr object
GRalgo-calcCriteriaGRAssessment of clustering quality
GRalgo-calcGRInterface to the Growing Region algorithm
GRalgo-calcSigmaGRAutomatic Growing Region algorithm
GRalgo-GRalgoGrowing Region algorithm
GRalgo-initGRGrowing Region initialization
GRalgo-plotSigmaGRDisplay quality criteria for the GR algorithm
InputOutput-array2dtArray to data.frame converter
InputOutput-constMRIaggrArray constructor for MRIaggr object
InputOutput-dt2arraydata.frame to array converter
InputOutput-readMRIRead an image file
InputOutput-writeMRIWrite an image file
Miscellaneous-calcAUPRCArea under the PR curve
Miscellaneous-constLatexConstructor for Latex report
Miscellaneous-dtnormTruncated Normal distribution
Miscellaneous-EDKGaussian kernel
Miscellaneous-getFileExtentionGet file extension
Miscellaneous-initConstLatexInitializateurs for the constLatex function
Miscellaneous-logitLogistic transform
Miscellaneous-validChecking argument validity
MRIaggr-allocClinicAllocate clinical data
MRIaggr-allocContrastAllocate new contrast parameters
MRIaggr-allocDescStatsAllocate non standard elements
MRIaggr-allocHemisphereAllocate the position of the mid-saggital plan
MRIaggr-allocNormalizationAllocate normalization values
MRIaggr-allocTableAllocate volumic information
MRIaggr-allocWAllocate a neighbourhood matrix
MRIaggr-boxplotMaskBoxplot spatial group characteristics
MRIaggr-calcBlockWFind disjoint spatial blocks of sites
MRIaggr-calcBlockW_cppFind disjoint spatial blocks of sites
MRIaggr-calcBrainMaskBrain-Background discrimination
MRIaggr-calcContro_cppCompute contralateral normalization
MRIaggr-calcControlateralCompute contraleral normalization values
MRIaggr-calcDistMaskEuclidean distance to a spatial group
MRIaggr-calcDistTissuesCompute descriptive statistics
MRIaggr-calcFilterImage filtration
MRIaggr-calcGroupsCoordsCompute spatial groups
MRIaggr-calcGroupsCoords_cppFind spatial groups
MRIaggr-calcGroupsMaskCompute spatial groups
MRIaggr-calcGroupsWCompute spatial groups
MRIaggr-calcGroupsW_cppFind spatial groups
MRIaggr-calcHemi_cppMid-saggital plan search
MRIaggr-calcHemisphereFind the mid-sagittal plan
MRIaggr-calcNormalizationCompute normalization values
MRIaggr-calcRegionaContrastCompute regional contrast parameters
MRIaggr-calcROCthresholdROC analysis
MRIaggr-calcSmoothMaskSpatial regularization
MRIaggr-calcTableHypoReperfCompute reperfusion and hypoperfusion tables
MRIaggr-calcTableLesionVertical distribution of the lesion
MRIaggr-calcThresholdMRIaggrImage thresholding
MRIaggr-calcTissueTypeProbabilistic tissue type segmentation
MRIaggr-calcWCompute the neighbourhood matrix
MRIaggr-classClass "MRIaggr"
MRIaggr-constCompressMRIaggrCompress a MRIaggr object
MRIaggr-constReduceMRIaggrReduce a MRIaggr
MRIaggr-filtrage2D_cpp2D filtering
MRIaggr-filtrage2Dmed_cpp2D median filtering
MRIaggr-filtrage3D_cpp3D filtering
MRIaggr-filtrage3Dmed_cpp3D median filtering
MRIaggr-heatmapMRIaggrCorrelation between contrast parameters
MRIaggr-initColColor initialization
MRIaggr-initDisplayWindowDevice management
MRIaggr-initFilterInitialization of a filter
MRIaggr-initIndexIndex initialization
MRIaggr-initMaskInitialization of the slice numbers
MRIaggr-initNeighborhoodInitialization of a neighbourhood filter
MRIaggr-initNumInitialization of the slice numbers
MRIaggr-initParameterparameter initialization
MRIaggr-initWindowDisplay initialization
MRIaggr-legendMRIDiplay a legend of a contrast map
MRIaggr-multiplotSlice by slice display
MRIaggr-outlineOutline a region on a slice
MRIaggr-outlineMRIaggrOutline a region on a slice
MRIaggr-plotDistClassPlot the distribution of the contrast parameter
MRIaggr-plotLesion3D3D plot of the lesion
MRIaggr-plotMRIDiplay a contrast parameter by coordinates
MRIaggr-plotOutlineCompute the outline of a spatial group
MRIaggr-plotTableLesionLesion volume displayed by slices
MRIaggr-pointsHemisphereAdd the position of the mid-sagittal plan
MRIaggr-selectClinicExtract clinical data
MRIaggr-selectContrastExtract contrast parameters
MRIaggr-selectCoordsExtract spatial coordinates
MRIaggr-selectDefault_valueExtract reference values
MRIaggr-selectDescStatsExtract non-stardard elements
MRIaggr-selectHemispheresExtract the position of the lesion in each hemisphere
MRIaggr-selectHistoryExtract the call of the methods applied on the object
MRIaggr-selectIdentifierExtract the identifier
MRIaggr-selectMidplaneExtract the position of the mid-sagittal plan
MRIaggr-selectNExtract the number of observations
MRIaggr-selectNormalizationExtract the normalization values
MRIaggr-selectParameterExtract parameters
MRIaggr-selectTableExtract volumic information
MRIaggr-selectVoxelDimExtract the data dimension
MRIaggr-selectVoxelSizeExtract the dimensions of a voxel
MRIaggr-selectWExtract a neighbourhood matrix
MRIaggr-summary.MRIaggrSummary Method for Class "MRIaggr"
MRIaggr-supprContrastRemove a contrast parameter
MRIaggr-supprDescStatsRemove an element of ls_descStats
MRIaggr-writeMRIaggrWrite an image file
options-allocOptionsMRIaggrAllocate new default values
options-optionsMRIaggrSet or Query Default Values for MRIaggr
options-selectOptionsMRIaggrExtract default values
Package-MRIaggrManagement, display and processing of cerebral imaging data.
sfMM-calcMultiPotentialComputation of the spatial potential
sfMM-calcMultiPotential_cppComputation of the spatial potential
sfMM-calcPottsSpatial regularization using ICM
sfMM-calcPotts_cppIterated conditional means for spatial regularization
sfMM-calcPottsParameterEstimation of the local regularization parameters
sfMM-calcRadius_cppCompute geometric caracteristics of a spatial group
sfMM-rhoLvfreeEstimation of the local regularization parameters
sfMM-rhoMFEstimation of the local and regional spatial correlation
sfMM-simulPottsDraw a sample from a Potts model
sfMM-simulPotts_cppPotts model simulation
sfMM-simulPottsFast_cppPotts model simulation
bozenne/MRIaggr documentation built on May 13, 2019, 1:39 a.m.