Description Arguments S4 methods See Also
Patient-specific storage of multivariate contrast data and clinical data.
identifier |
the patient identifier. character. |
contrast |
the value of the contrast parameters for each observation. data.frame. |
clinic |
the clinical data of the patient. data.frame. |
fieldDim |
the dimensions of the spatial field (expressed in number of voxels) containing the voxels. data.frame. |
voxelDim |
the voxel size dimensions its unit of measure. A four columns data.frame with names |
default_value |
a reference value for each contrast parameter. data.frame. |
history |
a list of the |
normalization |
the normalization values of each contrast parameter. list. |
hemispheres |
the presence or absence of lesion(s) in each hemisphere. data.frame. |
midplane |
the position of the mid-sagittal plane. data.frame. |
W |
the neighbourhood matrix. list. |
table_lesion |
the vertical distribution of the lesion volumes. data.frame. |
table_reperfusion |
the volumic reperfusion data. data.frame. |
table_hypoperfusion |
the volumic hypoperfusion data. data.frame. |
ls_statDesc |
a slot to store additional data. list. |
Getters :
selectContrast
return the contrast parameters.
selectCoords
return the coordinates.
selectClinic
return the clinical data.
selectDefault_value
return the default values of the contrast parameters.
selectDescStats
return extra information.
selectHemispheres
return the position of the lesion in each hemisphere.
selectHistory
return the call of the methods applied on the object.
selectIdentifier
return the identifier of the patient
selectMidplane
return the position of the mid-sagittal plan
selectN
return the number of voxels
selectNormalization
return the normalization values of the contrast parameters
selectParameter
return the names of the parameters stored in the object
selectTable
return volumic information about the lesion or about the perfusion
selectFieldDim
return the dimension of the lattice containing the observations
selectVoxelDim
return the dimension of a voxel
Setters :
allocContrast<-
allocate a contrast parameter
allocClinic<-
allocate clinical data
allocDescStats<-
allocate extra information
allocHemisphere<-
allocate the position of the lesion in the hemisphere or the position of the mid-sagittal brain
allocNormalization<-
allocate normalization values
allocTable<-
allocate volumic information
supprContrast<-
remove a contrast parameter
supprDescStats<-
remove extra information
Calculators :
calcBrainMask
calcContralateral
calcDistMask
calcDistTissues
calcFilter
calcGroupsMask
calcHemisphere
calcROCthreshold
calcNormalization
calcRegionalContrast
calcSmoothMask
calcTableHypoReperf
calcTableLesion
calcThresholdMRIaggr
calcTissueType
calcW
Displayers :
boxplotMask
heatmapMRIaggr
multiplot
plotDistClass
pointsHemisphere
plotLesion3D
plotTableLesion
outlineMRIaggr
summary,MRIaggr-method
Constructors :
constCompressMRIaggr
generate from an existing MRIaggr object a new one with lower spatial resolution
constReduceMRIaggr
copy an existing MRIaggr object restricted to a subset of voxels
writeMRIaggr
create an image file containing the values of a contrast parameter stored in the MRIaggr object.
Initializers :
initNum
initialization of the num argument
initParameter
intialization of the param argument
initMask
initialization of the mask argument
constMRIaggr
to build a MRIaggr
object from a list of array.
readMRI
to read image files.
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