Documentation/Nightly/Modules/UKFTractography

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Introduction and Acknowledgements

Title: UKF Tractography Author(s)/Contributor(s): Yogesh Rathi, Stefan Lienhard, Yinpeng Li, Martin Styner, Ipek Oguz, Yundi Shi, Christian Baumgartner, Kent Williams, Hans Johnson, Peter Savadjiev, Carl-Fredrik Westin, Lauren O'Donnell, Jessica Lee. License: Acknowledgements: The development of this module was supported by NIH grants R01 MH097979 (PI Rathi), R01 MH092862 (PIs Westin and Verma), U01 NS083223 (PI Westin), R01 MH074794 (PI Westin) and P41 EB015902 (PI Kikinis), U01 CA199459 (PI O'Donnell), and P41 EB015898 (NCIGT). Contact: <email>slicer-users@bwh.harvard.edu</email> Website: https://github.com/pnlbwh/ukftractography Website: http://slicerdmri.github.io/

SlicerDMRI   NAC   Arcuate fasciculus (AF) tract in the setting of edema [Chen et al, 2015]   Corpus callosum (CC) tract

Module Description

This module traces fibers in a DWI Volume using the multiple tensor unscented Kalman Filter methodology. At each point on the fiber the most consistent direction is found as a mixture of previous estimates and of the local model.

For more information, please reference: Malcolm, James G., Martha E. Shenton, and Yogesh Rathi. "Filtered multitensor tractography." Medical Imaging, IEEE Transactions on 29.9 (2010): 1664-1675. (http://www.ncbi.nlm.nih.gov/pubmed/20805043)

For additional references, please see below (References section).

Use Cases

By default, this module uses a tensor model (either one or two tensors). The default tensor model is a cylinder: both smaller eigenvalues are equal. The NODDI model can also be used.

• 1-Tensor tractography
• 1-Tensor tractography with free water
• 2-Tensor tractography
• 2-Tensor tractography with free water
• Neurite orientation dispersion and density imaging (NODDI)

Tutorials

• UKF Tractography tutorial: https://www.slicer.org/wiki/Documentation/Nightly/Training#UKF

Panels and their use

Parameters:

• IO: Input/output parameters
  • Input DWI Volume (dwiFile): Input diffusion weighted (DWI) volume
  • Input Brain Mask (maskFile): Brain mask for diffusion tractography. Tracking will only be performed inside this mask.
  • Output Fiber Bundle (tracts): Output fiber tracts.
• Seeding Options (pick one option): Options for seeding tractography. Only one of the three provided options will be used. Option 1 (Minimum Seed FA) is the default.
  • Option 1: Minimum Seed FA (seedingThreshold): (Seeding Option 1) Tractography parameter used in all models. Seed points whose fractional anisotropy (FA) are below this value are excluded. This seeding option is default and will not be used if Seeding Option 2 or 3 is used. Default: 0.18. Range: 0-1.
  • Option 2: WM Segmentation Map (wmFile): (Seeding Option 2) A probabilistic segmentation map of the White Matter (WM). The values in the map should be between 0 and 1. Voxels with a probability over WM Probability Threshold (--wmProbThreshold) will be used for seeding. This seeding option will not be used if Seeding Option 3 is used.
  • Option 2: WM Probability Threshold (wmProbThreshold): (Seeding Option 2) When a WM Segmentation Map (--wmFile) is provided, tracking will be seeded in voxels with values over this threshold. Default: 0.3. Range: 0-1.
  • Option 3: Seeding Label Map (seedsFile): (Seeding Option 3) Voxels in this map with a label defined in ROI Labels (--seedLabels) for Seeding will be used for seeding. If this option is used, Seeding Options 1 and 2 will not be used.
  • Option 3: ROI Labels for Seeding (seedLabels): (Seeding Option 3) A list of the ROI labels to be used when Seeding Label Map (--seedsFile) is provided. There are the voxel values where tractography should be seeded.
• Stopping Options (pick one option): Options for stopping tractography. Only one of the three provided options will be used. Option 1 (Terminating Mean Signal) is the default.
  • Option 1: Terminating FA (stoppingFA): (Stopping Option 1) Tractography parameter used only in tensor models. Tractography will stop when the fractional anisotropy (FA) of the tensor being tracked is less than this value. Note: make sure to also decrease the Terminating Mean Signal (--stoppingThreshold) to track through lower anisotropy areas. This option will not be used if Stopping Option 2 or 3 is provided. Default: 0.15. Range: 0-1.
  • Option 1: Terminating Mean Signal (stoppingThreshold): (Stopping Option 1) Tractography parameter used by default in all models. Tractography will stop when the mean signal is below this value. This option will not be used if Stopping Option 2 or 3 is provided. Default: 0.1. Range: 0-1.
  • Option 2: GM Segmentation Map (gmFile): (Stopping Option 2) A probabilistic segmentation map of the Gray Matter (GM). The values in the map should be between 0 and 1. Tracking will stop in the voxels with a probability over GM Probability Threshold (--gmProbThreshold). This option will not be used if Stopping Option 3 is used.
  • Option 2: GM Probability Threshold (gmProbThreshold): (Stopping Option 2) When a GM Segmentation Map (--gmFile) is provided, tracking will stop in voxels with values over this threshold. Default: 0.99. Range: 0-1.
  • Option 2: CSF Segmentation Map (csfFile): (Stopping Option 2) A probabilistic segmentation map of the Cerebrospinal Fluid (CSF). The values in the map should be between 0 and 1. Tracking will stop in voxels with a probability over CSF Probability Threshold (--csfProbThreshold). This option will not be used if Stopping Option 3 is used.
  • Option 2: CSF Probability Threshold (csfProbThreshold): (Stopping Option 2) When a CSF Segmentation Map (--csfFile) is provided, tracking will stop in voxels with values over this threshold. Default: 0.5. Range: 0-1.
  • Option 3: Input Stopping Label Map (stopFile): (Stopping Option 3) Label map that defines where tracking should stop. Voxels in this map with a label listed in ROI Labels for Stopping (--stopLabels) will be used for stopping. If this option is provided, Stopping Options 1 and 2 will not be used.
  • Option 3: ROI Labels for stopping (stopLabels): (Stopping Option 3) A list of the ROI labels to be used when Stopping Label Map (--stopFile) is provided. There are the voxel values where tractography should stop.
• Tractography Options: Basic Parameters
  • Seeding: Number of seeds per voxel (seedsPerVoxel): Tractography parameter used in all models. Each seed generates a fiber, thus using more seeds generates more fibers. In general use 1 or 2 seeds, and for a more thorough result use 5 or 10 (depending on your machine this may take up to 2 days to run). Default: 1. Range: 0-50.

• • Tracking: Number of threads (numThreads): Tractography parameter used in all models. Number of threads used during computation. Set to the number of cores on your workstation for optimal speed. If left undefined, the number of cores detected will be used.
  • Tracking: Number of tensors/orientations in model (numTensor): Number of tensors (tensor model) or orientations (NODDI model) used
  • Tracking: Step length of tractography (in mm) (stepLength): Tractography parameter used in all models. Step size when conducting tractography. Default: 0.3. Range: 0.1-1.
  • Tracking: Rate of change of tensor direction/orientation (Qm): UKF data fitting parameter for tensor or NODDI model: Process noise for angles/direction. Defaults: Noddi-0.001; Single tensor-0.005; other-0.001. Suggested Range: 0.00001 - 0.25. Default of 0.0 indicates the program will assign value based on other model parameters.
  • Output: Step length of output tractography (in mm) (recordLength): Tractography parameter used in all models. Step size between points saved along fibers. Default: 0.9. Range: 0.1-4.
  • Output: Maximum tract length (in mm) (maxHalfFiberLength): Tractography parameter used in all models. The max length limit of the half fibers generated during tractography. A fiber is "half" when the tractography goes in only one direction from one seed point at a time. Default: 250 mm. Range: 1-500 mm.
  • Output: Save Normalized Mean Square Error (recordNMSE): Record output from data fitting: Store normalized mean square error (NMSE) along fibers.
• Tensor Model (default): Tensor model parameters
  • Tensor Model: Estimate term for free water (freeWater): Adds a term for free water diffusion to the model. The free water model is a tensor with all 3 eigenvalues equal to the diffusivity of free water (0.003). To output the free water fraction, make sure to use the "save free water" parameter.
  • Output: Save tensor FA (recordFA): Record output from tensor model: Save fractional anisotropy (FA) of the tensor(s). Attaches field 'FA' or 'FA1' and 'FA2' for 2-tensor case to fiber.
  • Output: Save tensor trace (recordTrace): Record output from tensor model: Save the trace of the tensor(s). Attaches field 'Trace' or 'Trace1' and 'Trace2' for 2-tensor case to fiber.
  • Output: Save free water fraction (recordFreeWater): Record output from tensor plus free water model: Save the fraction of free water. Attaches field 'FreeWater' to fiber.
  • Output: Save tensors (recordTensors): Record output from tensor model: Save the tensors that were computed during tractography (if using tensor model). The fields will be called 'TensorN', where N is the tensor number. Recording the tensors enables Slicer to color the fiber bundles by FA, orientation, and so on. Recording the tensors also enables quantitative analyses.
  • UKF Parameter (Advanced): Rate of change of eigenvalues (Ql): UKF data fitting parameter for tensor model: Process noise for eigenvalues. Defaults: 1 tensor-300 ; 2 tensor-50 ; 3 tensor-100. Suggested Range: 1-1000. Default of 0.0 indicates the program will assign value based on other model parameters.
  • UKF Parameter (Advanced): Rate of change of freewater weight (Qw): UKF data fitting parameter for tensor plus free water model: Process noise for free water weights, ignored if no free water estimation. Defaults: 1 tensor-0.0025; 2 tensor-0.0015. Suggested Range: 0.00001-0.25. Default of 0.0 indicates the program will assign value based on other model parameters.
• NODDI Model: Use NODDI model
  • NODDI Model: Use NODDI Model (noddi): Use neurite orientation dispersion and density imaging (NODDI) model instead of tensor model.
  • Output: Save NODDI intra-cellular volume fraction. (recordVic): Record output from NODDI model: Store volume fraction of intra-cellular compartment along fibers.
  • Output: Save NODDI dispersion parameter (kappa) (recordKappa): Record output from NODDI model: concentration parameter that measures the extent of orientation dispersion.
  • Output: Save NODDI CSF volume fraction. (recordViso): Record output from NODDI model: Store volume fraction of CSF compartment along fibers.
  • UKF Parameter (Advanced): Rate of change of kappa value (Qkappa): UKF data fitting parameter for NODDI model: Rate of change of kappa (orientation dispersion) value. Higher kappa values indicate more fiber dispersion. Default: 0.01.
  • UKF Parameter (Advanced): Rate of change of intracellular volume fraction (Qvic): UKF data fitting parameter for NODDI model: Rate of change of volume fraction of intracellular component. Default: 0.004.
• Signal Parameters (Expert Only):
  • Signal Parameter (Advanced): Expected noise in signal (Rs): UKF Data Term: Measures expected noise in signal. This is used by the UKF method to decide how much to trust the data. This should be increased for very noisy data or reduced for high quality data. Defaults: single tensor/orientation-0.01; other-0.02. Suggested Range: 0.001-0.25. Default of 0.0 indicates the program will assign value based on other model parameters.
• Not Used: Debug/Develop Only :
  • Signal Parameter (Advanced): Sigma for Gaussian interpolation of signal (sigmaSignal): UKF Data Term: Sigma for Gaussian kernel used to interpolate the signal at sub-voxel locations. Default: 0.0
  • Record states (recordState): Develop/Debug Only: Store the states along the fiber. Will generate field 'state'. The state is the model for UKF. In the case of the two tensor model, it is a ten-parameter vector.
  • Record the covariance matrix (recordCovariance): Develop/Debug Only: Store the covariance matrix along the fiber. Will generate field 'covariance' in fiber. This is the covariance from the unscented Kalman filter.
  • Use full tensor model (fullTensorModel): Develop/Debug Only: Use the full tensor model instead of the default model. The default model has both smaller eigenvalues equal, whereas the full model allows 3 different eigenvalues.
  • Maximum branching angle (maxBranchingAngle): Develop/Debug Only: Maximum branching angle, in degrees. When using multiple tensors, a new branch will be created when the tensors' major directions form an angle between (minBranchingAngle, maxBranchingAngle). Branching is supressed when this maxBranchingAngle is set to 0.0. Default: 0.0. Range: 0-90.
  • Minimum branching angle (minBranchingAngle): Develop/Debug Only: Minimum branching angle, in degrees. When using multiple tensors, a new branch will be created when the tensors' major directions form an angle between (minBranchingAngle, maxBranchingAngle). Default: 0. Range: 0-90.
  • Branched Fibers (second tensor, optional) (tractsWithSecondTensor): Develop/Debug Only: Tracts generated, with second tensor output (if there is one)
  • Store tensors' main directions (storeGlyphs): Develop/Debug Only: Store tensors' main directions as two-point lines in a separate file named glyphs_{tracts}. When using multiple tensors, only the major tensors' main directions are stored
  • Write Binary Tracts File (writeAsciiTracts): Develop/Debug Only: Write tract file as ASCII text format. Default is not ASCII. Default tracts are written on VTK binary data file.
  • Write uncompressed Tracts File (writeUncompressedTracts): Develop/Debug Only: Write tract file as a VTK uncompressed data file
  • DEPRECATED REMOVED: minGA (was Stopping Criterion: Terminating GA):

       DEPRECATED REMOVED: this parameter is no longer valid! Please use 'stoppingThreshold' instead! GA is no longer used as a stopping threshold. Please see https://github.com/pnlbwh/ukftractography/pull/64 for more information. (Was: Tractography parameter used in all models. Tractography will stop when the generalized anisotropy (GA) is less than this value. GA is a normalized variance of the input signals (so it does not depend on any model). Note: to extend tracking through low anisotropy areas, this parameter is often more effective than the minFA. This parameter is used by both tensor and NODDI models. Default: 0.1. Range: 0-1.)
     

• • Allow in-memory data transfer (AllowMemoryTransfer): Allow in-memory data transfer

List of parameters generated transforming this XML file using this XSL file. To update the URL of the XML file, edit this page.

Similar Modules

• Tractography Seeding
• Tractography ROI Seeding
• Diffusion Tensor Estimation

References

• Reference for 2-tensor tractography:
  • Malcolm, J.G., Shenton, M.E. and Rathi, Y., 2010. Filtered multitensor tractography. IEEE transactions on medical imaging, 29(9), pp.1664-1675.
• Reference for 1-tensor and 2-tensor + free-water:
  • Baumgartner C, Michailovich O, Levitt J, Pasternak O, Bouix S, Westin C, Rathi Y. A unified tractography framework for comparing diffusion models on clinical scans. In Computational Diffusion MRI Workshop of MICCAI, Nice 2012 (pp. 27-32).
• Reference for using UKF in clinical imaging data from tumor patients with edema:
  • Chen Z, Tie Y, Olubiyi O, Rigolo L, Mehrtash A, Norton I, Pasternak O, Rathi Y, Golby AJ, O'Donnell LJ. Reconstruction of the arcuate fasciculus for surgical planning in the setting of peritumoral edema using two-tensor unscented Kalman filter tractography. NeuroImage: Clinical. 2015 Dec 31;7:815-22.
• Reference for NODDI UKF tractography:
  • Reddy, C.P. and Rathi, Y., 2016. Joint Multi-Fiber NODDI Parameter Estimation and Tractography Using the Unscented Information Filter. Frontiers in Neuroscience, 10.

Information for Developers

• https://github.com/pnlbwh/ukftractography
• https://www.nitrc.org/projects/ukftractography