Difference between revisions of "2011 Winter Project Week:TwoTensorTracts"

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<gallery>
 
<gallery>
 
Image:PW-SLC2011.png|[[2011_Winter_Project_Week#Projects|Projects List]]
 
Image:PW-SLC2011.png|[[2011_Winter_Project_Week#Projects|Projects List]]
Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
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Image:wholebrainclustersexample.jpg|Example whole brain clustering result.
Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
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Image:example2tensortracts.jpg|Example two-tensor tractography result.
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Image:clustersinSlicer4.png|Progress: Cluster output loaded into Slicer4 with new MRML file.
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Image:modelHierarchyClustersSlicer4.png|Progress: Model hierarchy created by initial Slicer4 module
 
</gallery>
 
</gallery>
 
==Instructions for Use of this Template==
 
#Please create a new wiki page with an appropriate title for your project using the convention Project/<Project Name>
 
#Copy the entire text of this page into the page created above
 
#Link the created page into the list of projects for the project event
 
#Delete this section from the created page
 
#Send an email to tkapur at bwh.harvard.edu if you are stuck
 
  
 
==Key Investigators==
 
==Key Investigators==
 
* BWH: Lauren O'Donnell, Yogesh Rathi, C-F Westin
 
* BWH: Lauren O'Donnell, Yogesh Rathi, C-F Westin
 +
 +
==Thank You==
 +
* BWH: Demian Wassermann (help with Python)
 +
* Kitware: JC, J2, for bug squishing.  Danielle Pace for pointers on Python modules for Slicer4.
  
 
<div style="margin: 20px;">
 
<div style="margin: 20px;">
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
  
Our approach
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Our goals for the project week are to test 2-tensor tractography, to update clustering I/O to read tracts as a single large polydata file per subject, and to produce output in Slicer3 MRML format. 
  
Our plan for the project week is ...
+
The next step is to ascertain what needs to be done to visualize/label the clusters in slicer3 or 4. This is in order to make atlases or study a particular tract. The old slicer2 interface allowed interactive selection of clusters (show/hide selected, and show/hide labeled or unlabeled) and anatomical naming/labeling.
  
 
</div>
 
</div>
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<h3>Progress</h3>
 
<h3>Progress</h3>
 
+
* Installed/tested 2-tensor slicer3 python module. Thank you Demian for help. Reported bug with voxel sizes to Yogesh Rathi.
 
+
* Converted clustering output tcl script to output slicer3/slicer4 MRML format
 
+
* Initial work on porting slicer2 ModelInteraction module to slicer4. Module will enable interactive model selection/grouping/naming. Slicer4 picking and improved model hierarchy functionality will be used when available.  The module is a QTScriptedModule python Slicer4 implementation.
 +
* Some progress towards general file formats as input to clustering code, to allow slicer2/3/4/other programs to input tract files (one or many vtk's)
 
</div>
 
</div>
 
</div>
 
</div>
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#ITK Module
 
#ITK Module
#Slicer Module
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#Slicer Module YES
##Built-in
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##Built-in YES!
 
##Extension -- commandline
 
##Extension -- commandline
 
##Extension -- loadable
 
##Extension -- loadable
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==References==
 
==References==
*Fletcher P, Tao R, Jeong W, Whitaker R. [http://www.na-mic.org/publications/item/view/634 A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI.] Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
+
*Tensor Kernels for Simultaneous Fiber Model Estimation and Tractography. Y. Rathi, J. G. Malcolm, O. Michailovich, C.-F. Westin, M. E. Shenton, S. Bouix. Magn Reson Med. 2010
* Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. [http://www.na-mic.org/publications/item/view/292 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Med Image Anal. 2006 Oct;10(5):786-98. PMID: 16926104.
+
*Quantitative examination of a novel clustering method using magnetic resonance diffusion tensor tractography. A. N. Voineskos, L. J. O'Donnell, N. J. Lobaugh, D. Markant, S. H. Ameis, M. Niethammer, B. H. Mulsant, B. G. Pollock BG, J. L. Kennedy, C. F. Westin, M. E. Shenton. NeuroImage 45(2):370-376, 2009
* Corouge I, Fletcher P, Joshi S, Gilmore J, Gerig G. [http://www.na-mic.org/publications/item/view/1122 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9. PMID: 16685838.
+
*Automatic Tractography Segmentation Using a High-Dimensional White Matter Atlas. Lauren O'Donnell and Carl-Fredrik Westin. IEEE Transactions in Medical Imaging 26(11):1562-1575, 2007
* Goodlett C, Corouge I, Jomier M, Gerig G, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .
 
 
 
 
</div>
 
</div>

Latest revision as of 18:07, 14 January 2011

Home < 2011 Winter Project Week:TwoTensorTracts

Key Investigators

  • BWH: Lauren O'Donnell, Yogesh Rathi, C-F Westin

Thank You

  • BWH: Demian Wassermann (help with Python)
  • Kitware: JC, J2, for bug squishing. Danielle Pace for pointers on Python modules for Slicer4.

Objective

To test 2-tensor tractography in Slicer3/standalone and hook it up to full-brain clustering pipelines.

Approach, Plan

Our goals for the project week are to test 2-tensor tractography, to update clustering I/O to read tracts as a single large polydata file per subject, and to produce output in Slicer3 MRML format.

The next step is to ascertain what needs to be done to visualize/label the clusters in slicer3 or 4. This is in order to make atlases or study a particular tract. The old slicer2 interface allowed interactive selection of clusters (show/hide selected, and show/hide labeled or unlabeled) and anatomical naming/labeling.

Progress

  • Installed/tested 2-tensor slicer3 python module. Thank you Demian for help. Reported bug with voxel sizes to Yogesh Rathi.
  • Converted clustering output tcl script to output slicer3/slicer4 MRML format
  • Initial work on porting slicer2 ModelInteraction module to slicer4. Module will enable interactive model selection/grouping/naming. Slicer4 picking and improved model hierarchy functionality will be used when available. The module is a QTScriptedModule python Slicer4 implementation.
  • Some progress towards general file formats as input to clustering code, to allow slicer2/3/4/other programs to input tract files (one or many vtk's)

Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)

  1. ITK Module
  2. Slicer Module YES
    1. Built-in YES!
    2. Extension -- commandline
    3. Extension -- loadable
  3. Other (Please specify)

References

  • Tensor Kernels for Simultaneous Fiber Model Estimation and Tractography. Y. Rathi, J. G. Malcolm, O. Michailovich, C.-F. Westin, M. E. Shenton, S. Bouix. Magn Reson Med. 2010
  • Quantitative examination of a novel clustering method using magnetic resonance diffusion tensor tractography. A. N. Voineskos, L. J. O'Donnell, N. J. Lobaugh, D. Markant, S. H. Ameis, M. Niethammer, B. H. Mulsant, B. G. Pollock BG, J. L. Kennedy, C. F. Westin, M. E. Shenton. NeuroImage 45(2):370-376, 2009
  • Automatic Tractography Segmentation Using a High-Dimensional White Matter Atlas. Lauren O'Donnell and Carl-Fredrik Westin. IEEE Transactions in Medical Imaging 26(11):1562-1575, 2007