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Sonia Pujol, PhD

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Diffusion Tensor Imaging Tutorial

Sonia Pujol, Ph.D.

Surgical Planning LaboratoryHarvard University

Sonia Pujol, PhD

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National Alliance for Medical Image Computing Neuroimage Analysis Center

DTI tutorial

This tutorial is an introduction to the advanced Diffusion MR capabilities of the Slicer3 software for medical image analysis.

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Outline

This tutorial guides you through the process of loading diffusion MR data, estimating diffusion tensors, and performing tractography of white matter bundles.

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National Alliance for Medical Image Computing Neuroimage Analysis Center

OutlineThe processing pipeline uses 9 image analysis modules of Slicer3.4

1.Data

2.Volumes

3.Diffusion Tensor Estimation

4.Diffusion Tensor Scalar Measurements

5.Editor

6.LabelMap Seeding

7.Fiber Bundles

8.Fiducials

9.Fiducial Seeding

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Tutorial DatasetThe Diffusion MR tutorial dataset is composed of a

Diffusion Weighted MR scan of the brain acquired

with 2 baseline and 12 gradient directions.

Diffusion Sensitizing Gradients

Diffusion Weighted

Images

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DTI Processing Pipeline

DWI Acquisition

Tensor Calculation

Scalar Maps

3D Visualization

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Start Slicer3

Linux/Mac users

Launch the Slicer3

executable located in

the Slicer3.4 directory

Windows users

Select

Start All Programs

Slicer3 3.4 2009-05-21Slicer3

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Slicer Welcome

The SlicerWelcome module is the module displayed by default.

This module gives an overview of the GUI of Slicer3, and data loading & saving functionality.

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Part 1:

Diffusion data loading and

tensor estimation

iT gDigb

i eSS ˆˆ0

−=

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Loading the DWI volume

Select Add Volume from the File menu

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Loading the DWI volume

Browse to the location of the Diffusion tutorial dataset directory and select the dwiDataset.nhdr file

Click on Apply to load the volume

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Loading the DWI volumeSlicer displays the anatomical views of the baseline volume of the diffusion dataset in the 2D Slice Viewer.

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Tensor Estimation

Left click on the menu Modules and select All Modules to display the list of 95 modules available for image analysis and 3D visualization.

Select the module Diffusion Tensor Estimation.

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Tensor Estimation

Select the Input DWI Volume dwiDataset

Left click on OutputDTIVolume and select ‘Create New Diffusion Tensor Volume’

Left click on Output Baseline Volume and select ‘Create New Volume’

Left click on Otsu Threshold Mask and select ‘Create New Volume’

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Tensor Estimation

Select the Tensor Estimation Algorithm to LS (Least Squares) and click on Apply to estimate the tensors.

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Tensor Estimation

Left click on Diffusion Tensor Volume 1 to display the list of volumes that have been computed by Slicer

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Tensor EstimationDiffusion Tensor Estimation Volume is the volume of estimated tensors

Diffusion Tensor Estimation Volume 1 is the Baseline volume

Diffusion Tensor Estimation Volume 2 is the tensor mask (blue)

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Tensor Estimation

Click on the Link icon, left click on Diffusion Tensor Volume 2 and select None

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Tensor Estimation

Select the module Volumes in the modules toolbar

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Tensor Estimation

Select the Active Volume ‘Diffusion Tensor Estimation 1’ and click on the Display tab

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Tensor Estimation

Set the Window/Level to Manual and adjust the parameters of the baseline volume using the slider

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Tensor Estimation

Browse through the baseline images, which correspond to the volumes that have been acquired without gradient.

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Part2:

Scalar Measurements

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Scalar MeasurementsSelect the category Diffusion from the list of modules, and left click on the Diffusion Tensor Scalar Measurement module.

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Scalar MeasurementsSelect the Input DTI Volume to Diffusion Tensor Estimation Volume

Select the Output Scalar Volume ‘Create New Volume’

Select the Operation to Fractional Anisotropy and click on Apply

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Fractional Anisotropy Volume

Left click on the Slicer Viewer Menu icon, and select Show label volume outlines

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Slicer displays the outline of the tensor mask overlaid on the Fractional Anisotropy volume

Fractional Anisotropy Volume

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Move the mouse over the Fractional Anisotropy map to explore the FA values which range from 0 to 1, and are displayed in the bottom corner of the active (Bg) window.

Fractional Anisotropy Volume

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Part 3:

Region of Interest based Tractography

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LabelMap GenerationSelect the module Editor in the modules’ menu.

Select the Source Volume

Diffusion Tensor Scalar Measurements Volume

Select the label map volume Working and click on Create Label Map

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LabelMap Generation

Left click on the Slicer Viewer Menu icon, and select Don’t show label volume outlines

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National Alliance for Medical Image Computing Neuroimage Analysis Center

LabelMap GenerationSelect the label 2 (pink), click on the icon Paint , set the radius to 2 and draw a region of interest within the corpus callosum in the sagittal view

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LabelMap SeedingSelect the module Labelmap Seeding from the Modules’ menu

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LabelMap Seeding

Select the Input DTI volume ‘Diffusion Tensor Estimation Volume’

Select the Input Label Map ‘Working’

Select Output Fiber Bundle ‘Create New Fiber Bundle’

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LabelMap SeedingSet the Seed Spacing to 2 mm and select the Stopping Mode Fractional Anisotropy

Use the default parameters for the minimum and maximum tract length, stopping value and stopping track curvature.

Set Seeding label to 2, and click on Apply

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LabelMap Seeding

The tracts generated within the corpus callosum region appear in the 3DViewer.

The color map used represent the FA values along the tracts.

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LabelMap SeedingSelect the module FiberBundles, and click on the tab Tube in the Display panel

Check the Visibility box.

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LabelMap Seeding

Slicer displays the computed tracts as tubes colored with FA values.

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Part 4:

Tractographyon-the-fly

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Fiducial Seeding

Select the module Fiducials

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Fiducial SeedingSet Fiducial List to Create New FiducialList

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Fiducial SeedingLeft click on FiducialList and select Rename

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Fiducial SeedingEnter the new name Seed and click on Apply

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Fiducial SeedingClick on the cross icon to add a fiducial to the Seed list

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Fiducial SeedingThe fiducial Seed-P1 appears in the 3D Viewer

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Fiducial SeedingPosition the fiducial in the cingulum region located above the corpus callosum.

Press the P key and left click on the gray scale image.

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Fiducial Seeding

Select the Seed-P1 fiducial: we will use this fiducial to drive the tractography

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Fiducial SeedingSelect the module Fiducial Seeding

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Fiducial SeedingSet the DTI Volume to Diffusion Tensor Estimation Volume

Select the Fiducial List Seed

Set the Output FiberBundleNode to Create New FiberBundle

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Fiducial SeedingSet the Stopping Mode to Fractional Anisotropy and set the tractography parameters to the values that we used for the corpus callosum:

Stopping Value: 0.1

Stopping Track Curvature: 0.8

Step Length: 0.8 mm

Minimum Length: 10 mm

Fiducial Stepping Size: 1.5 mm

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Fiducial Seeding

Slicer displays the tracts seeded from the Fiducial Seed-P1.

The tracts correspond to the region of the cingulum located above the corpus callosum.

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Fiducial Seeding

Move the fiducial Seed-P1 from the left cingulum to the corresponding region in the right cingulum in the coronal slice.

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Fiducial Seeding

Slicer displays the right cingulum tracts which are seeded from the new position of the fiducial Seed-P1

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Part 5:

Saving a DTI Scene

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DTI Scene

Select the module Data

Slicer displays the list of volumes and models generated in this tutorial

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Saving a DTI Scene

Select Save from the File menu

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Saving a DTI Scene

Browse to the directory SlicerData to save the data and click on Save Selected

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Saving a DTI Scene

Select FileClose Scene to close the current DTI Scene

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Loading a DTI Scene

Select FileLoad Scene and browse to the location where you saved the scene SlicerScene1.mrml

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Loading a DTI Scene

Select SlicerScene1.mrml and click on Open

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Loading a DTI SceneSelect the module Data

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Loading a DTI Scene

Slicer loads all the elements of the DTI Scene that were previously computed.

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Conclusion

This tutorial guided you through some of the Diffusion MR capabilities of the Slicer3 software.

For more tutorials and teaching events, please visit

spujol@bwh.harvard.eduwww.slicer.org

www.na-mic.org/Wiki/index.php/Events

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National Alliance for Medical Image Computing Neuroimage Analysis Center

Acknowledgments

National Alliance for Medical Image ComputingNIH U54 EB005149

Neuroimage Analysis Center

NIH P41 RR13218

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