public abstract class BS_DT_TractographyImage extends BootstrapTractographyImage
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.
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Modifier and Type | Method and Description |
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Vector3D[] |
getEigenvectors(int i,
int j,
int k)
Gets a new bootstrap estimate at every call.
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getPDs
computeIsotropicMask, computeIsotropicMask, getDataDims, getIsotropicMask, getPDs, getVoxelDims, numberOfPDs, xDataDim, xVoxelDim, yDataDim, yVoxelDim, zDataDim, zVoxelDim
public BS_DT_TractographyImage(int[] dataDims, double[] voxelDims, int[][][] vc, ModelIndex[] indices, DW_Scheme imPars, java.util.Random r)
dataDims
- array of data dimensions {xDataDim, yDataDim, zDataDim}.voxelDims
- array of voxel dimensions (in mm) {xVoxelDim, yVoxelDim, zVoxelDim}.vc
- the voxel classification.indices
- the inversion indices for the two-tensor and tensor reconstruction, in that order.
If a two-tensor index is not supplied, the default is ModelIndex.POSPOS.imPars
- the imaging scheme for the data.r
- a source of random numbers. The java.util.Random class is not recommended, use
tools.MTRandom instead.ModelFit
public final Vector3D[] getEigenvectors(int i, int j, int k)
{e1, e2, e3, e1...}
.