Interface | Description |
---|---|
ImageInterpolator |
Interface for interpolators.
|
PICoRandomizer |
Provides samples from the fibre orientation distribution function (PDF).
|
ProbabilisticInterpolator |
Purpose: Interface for probabilistic interpolators.
|
RegionOfInterest |
Interface for a tractography region of interest.
|
Class | Description |
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BallStickTractographyImage |
Defines image for tractography from tensor data.
|
BayesDiracBallStickRandomizer |
Samples orientations x from a Bayesian PDF P(x|data, model).
|
BayesDiracCylSymmTensorRandomizer |
Samples orientations x from a Bayesian PDF P(x|data, model).
|
BayesDiracRandomizer |
Samples orientations x from a Bayesian PDF P(x|data, model).
|
BayesDiracTractographyImage |
Bayesian tractography image using Dirac priors for "nuisance parameters",
see Friman et al, TMI 25:965-978 (2006).
|
BootstrapTractographyImage |
Superclass to bootstrap images.
|
BS_DT_TractographyImage |
Each call to #getPDs(int, int, int) returns a new bootstrap estimate of the PDs.
|
ConnectionProbabilityImage |
Connection probability image.
|
ConnectivitySegmentedImage |
Labels a seed image with the target that has the maximum connection probability to each seed.
|
CP_StatMap |
Superclass for memory-efficient storage of multiple scalar images.
|
DT_LinearInterpolator |
Provides interpolated measurements of the diffusion tensor
at any point within the dataset.
|
DT_LookupTableGenerator |
Fits some distribution to samples of tensors with added noise.
|
DT_TractographyImage |
Defines image for tractography from tensor data.
|
Edge | |
EightNeighbourInterpolator |
Purpose: To provide linearly interpolated measurements using eight-neighbour interpolation at any
point within the dataset.
|
EulerFibreTracker |
Superclass for trackers that use Euler's method to track through the data.
|
FACT_TendFibreTracker |
Purpose: To perform Tractography operations.
|
FibreTracker |
Abstract superclass for classes that perform streamline tractography.
|
FreeFormROI |
A free form voxel-based ROI for tractography.
|
Graph | |
HistBin | |
Histogram | |
LinIntDTEulerFibreTracker |
Tracks through DT data using Euler's method, with linear interpolation of the
tensor elements.
|
LinIntVectorEulerFibreTracker |
Tracks through vector data using Euler's method, with linear interpolation of the
vector elements.
|
LinIntVectorRK4FibreTracker |
Tracks through vector data using the fourth-rder Runge-Kutta method, with linear interpolation
of the vector elements at each step or sub step.
|
LookupTable |
Lookup table for PICo parameters.
|
MaxCP |
Computes the maximum connection probability to each voxel in the image from any seed point in an ROI.
|
MeanCP |
Computes the mean connection probability to all voxels in the image.
|
MedianCP |
Computes the median connection probability to all voxels in the image.
|
MinCP |
Computes the minimum connection probability to all voxels in the image.
|
NC_ProbFibreTracker |
Does Probabilistic tractography using neighbour-choice interpolation.
|
NeighbourChoiceInterpolator |
Provides interpolated tracking directions at any point within the dataset.
|
NonInterpolatedFibreTracker |
Purpose: To perform Tractography operations.
|
NonIntProbFibreTracker |
Purpose: To perform Tractography operations.
|
OneTensorLUTGenerator |
Fits some distribution to samples of tensors with added noise.
|
PD_TractographyImage |
Tractography image for PD data (output of sfpeaks).
|
PICoACGRandomizer |
Provides samples from the ACG fibre orientation PDF.
|
PICoBinghamRandomizer |
Provides samples from the Bingham fibre PDF.
|
PICoBootstrapRandomizer |
This class forwards bootstrap PDs, it does not do any randomization of its own.
|
PICoTractographyImage |
Tractography image with all three eigenvectors of spherical PDF(s) specified in each voxel.
|
PICoWatsonRandomizer |
Provides samples from the Watson fibre (PDF).
|
PointListROI |
An ROI for tractography.
|
RepBS_DT_TractographyImage |
Each call to #getPDs(int, int, int) returns a new bootstrap estimate of the PDs.
|
RK4FibreTracker |
Superclass for trackers that use Euler's method to track through the data.
|
SimplePICoRandomizer |
Provides samples from the fibre orientation PDF.
|
StreamlineROI_Filter |
Takes as input the streamline output from a
FibreTracker . |
SumCP |
Computes the minimum connection probability to all voxels in the image.
|
TargetCP_Image |
Connection probability image with targets.
|
TendInterpolator |
Does tensor deflection interpolation.
|
Tract |
Purpose: To contain a list of points describing one streamline.
|
TractCollection |
Purpose: To hold a collection of
Tract objects. |
TractographyImage |
Superclass for tractography images.
|
TractSource |
Provides an interface for input of Tract objects.
|
TractStatisticFilter |
Computes a statistic from streamlines, either from the streamline itself or by the values of a
scalar image along the streamline.
|
TractStatisticImage |
Gathers statistics from a TractStatisticFilter and creates an image using the tracts.
|
TwoTensorLUTGenerator |
Fits some distribution to samples of tensors with added noise.
|
VectorLinearInterpolator |
Provides interpolated measurements of the principal direction
at any point within the dataset.
|
Voxel | |
VoxelList |
Holds a streamline as a list of voxels.
|
WildBS_DT_TractographyImage |
Each call to #getPDs(int, int, int) returns a new bootstrap estimate of the PDs.
|
Enum | Description |
---|---|
DataModel |
Data model types: "cylsymmdt", "ballsticks".
|
PICoPDF |
PDF types: ACG, BINGHAM, WATSON
|
Exception | Description |
---|---|
OutsideLUTRangeException |