Package | Description |
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apps | |
inverters | |
tools | |
tractography |
Modifier and Type | Method and Description |
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static DiffusionInversion |
ModelFit.getIndexedInversion(ModelIndex[] indices,
DW_Scheme imPars)
Creates and returns the indexed diffusion inversion.
|
Modifier and Type | Method and Description |
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static ModelIndex[][] |
ModelIndex.getClassifiedModelIndices(java.lang.String[] codeStrings)
Parses the model indices from string representation in either text or numeric form.
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static ModelIndex |
ModelIndex.getIndex(int ind) |
static ModelIndex[] |
ModelIndex.getIndices(java.lang.String[] codeStrings)
Gets the indices from one or more strings.
|
static ModelIndex |
ModelIndex.valueOf(java.lang.String name)
Returns the enum constant of this type with the specified name.
|
static ModelIndex[] |
ModelIndex.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
Modifier and Type | Method and Description |
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static DT_Inversion |
DT_Inversion.getIndexedDT_Inversion(ModelIndex index,
DW_Scheme imPars)
Returns an indexed DT_Inversion.
|
static ThreeTensorFitter |
ThreeTensorFitter.getIndexedThreeTensorFitter(double[][] indepVals,
double[] depVals,
double[] bValues,
int nob0s,
ModelIndex index)
Returns a ThreeTensorFitter with type specified by the index and
initialized with the passed parameters.
|
static TwoTensorFitter |
TwoTensorFitter.getIndexedTwoTensorFitter(double[][] indepVals,
double[] depVals,
double[] bValues,
int nob0s,
ModelIndex index)
Returns a TwoTensorFitter with type specified by the index and
initialized with the passed parameters.
|
Constructor and Description |
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MultiTensorInversion(DW_Scheme imParams,
java.lang.String voxClassFile,
ModelIndex[][] modelIndices,
int maxComponents)
This constructor requires the details of the sequence, the name
of the file containing the voxel classification and the list of
indices of the inverters.
|
NonLinearDT_Inversion(DW_Scheme imParams,
ModelIndex index)
This constructor takes the imaging sequence parameters and an index
specifying the type of fitting to use.
|
ThreeTensorInversion(DW_Scheme imParams,
ModelIndex threeTensorIndex,
ModelIndex dtInverterIndex)
This constructor requires the details of the sequence and the indexes of
the choices of ThreeTensorFitter and DT_Inverter.
|
TwoTensorInversion(DW_Scheme imParams,
ModelIndex twoTensorIndex,
ModelIndex dtInverterIndex)
This constructor requires the details of the sequence and the indexes of
the choices of TwoTensorFitter and DT_Inverter.
|
Modifier and Type | Field and Description |
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static ModelIndex[][] |
CL_Initializer.classifiedModelIndices
Array of indices of the models in classified model fitting.
|
static ModelIndex[] |
CL_Initializer.inversionIndices
Index specifying the inversion.
|
Modifier and Type | Method and Description |
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double[][][][] |
OneTensorLUTGenerator.generateEV_LUT(double xMin,
double xMax,
double step,
int samples,
ModelIndex inversionIndex,
boolean watson,
boolean bingham,
boolean acg)
Generates the LUT.
|
double[][][][] |
OneTensorLUTGenerator.generateFA_LUT(double xMin,
double xMax,
double step,
int samples,
ModelIndex inversionIndex,
boolean watson,
boolean bingham,
boolean acg)
Generates the LUT.
|
double[][][][] |
TwoTensorLUTGenerator.generateLUT(double xMin,
double xMax,
double step,
int samples,
ModelIndex inversionIndex,
boolean watson,
boolean bingham,
boolean acg)
Generates the LUT.
|
double[][][][] |
OneTensorLUTGenerator.generateLUT(double xMin,
double xMax,
double step,
int samples,
ModelIndex inversionIndex,
boolean watson,
boolean bingham,
boolean acg)
Generates the LUT.
|
abstract double[][][][] |
DT_LookupTableGenerator.generateLUT(double xMin,
double xMax,
double step,
int samples,
ModelIndex inversionIndex,
boolean watson,
boolean bingham,
boolean acg)
Generates the LUT.
|
static RepBS_DT_TractographyImage |
RepBS_DT_TractographyImage.getBS_TractographyImage(java.lang.String[] inputFiles,
java.lang.String dataType,
DW_Scheme imPars,
ModelIndex[] indices,
int[][][] vc,
double[][][] anisMap,
double anisThresh,
int[] dataDims,
double[] voxelDims,
java.util.Random ran)
Gets an image from the data file.
|
Constructor and Description |
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BS_DT_TractographyImage(int[] dataDims,
double[] voxelDims,
int[][][] vc,
ModelIndex[] indices,
DW_Scheme imPars,
java.util.Random r)
Construct an image.
|
RepBS_DT_TractographyImage(float[][][][][] data,
double[] voxelDims,
int[][][] vc,
ModelIndex[] indices,
DW_Scheme imPars,
java.util.Random r) |