Difference between revisions of "2009 Summer Project Week DWI / DTI QC and Prepare Tool: DTIPrep"

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<h3>Progress</h3>
 
<h3>Progress</h3>
  
Separate command-line tools for DWI QC has been uploaded into NeuroLib:
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* Separate command-line tools for DWI QC has been uploaded into NeuroLib:
* DWIQCSliceChecker: for slice-wise intensity-related artifacts detection and gradient exclusion.
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** DWIQCSliceChecker: for slice-wise intensity-related artifacts detection and gradient exclusion.
* DWIQCInterlaceChecker: for interlace-wise Venetian blind artifacts detection and gradient exclusion.
+
** DWIQCInterlaceChecker: for interlace-wise Venetian blind artifacts detection and gradient exclusion.
* DWIQCGradientChecker: for gradient-wise motion artifacts detection and gradient exclusion.
+
** DWIQCGradientChecker: for gradient-wise motion artifacts detection and gradient exclusion.
* DWIBaselineAverager: for optimized multiple-b0 volume average in a nrrd DWI file.
+
** DWIBaselineAverager: for optimized multiple-b0 volume average in a nrrd DWI file.
DTIPrep will be updated soon with these new QC tools to give more flexibility to the QC/Prep pipeline.
+
* DTIPrep will be updated soon with these new QC tools to give more flexibility to the QC/Prep pipeline.
I am still struggling with MINC2 :(.
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* I am still struggling with MINC2 :(.
  
  
 
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Revision as of 12:32, 26 June 2009

Home < 2009 Summer Project Week DWI < DTI QC and Prepare Tool: DTIPrep

Key Investigators

  • UNC: Zhexing Liu, Heather Cody Hazlett, Martin Styner
  • Utah: Casey Goodlett, Guido Gerig, Tom Fletcher

Objective

We are developing a GUI/command line tool for DWI/DTI QC and preparation.

  • Both a GUI and command line tool
  • "Study-specific Protocol" based
    • Handles NRRD and MINC2 formats
    • Image/diffusion information check
    • Padding/Cropping of data
    • Slice-wise, interlace-wise and gradient-wise intensity and motion check
    • Motion/Eddy current correction
    • DTI computing


Approach, Plan

The tool allows a "protocol" based execution via parameter files. The parameter file contains all the settings/preferences/options and can be created using the tool's GUI. This tool performs automated quality control, correct data if possible, possibly reject parts of the data and provide a reporting facility.

Our plan for the project week is to:

  • Add MINC2 support
  • Tune intergrations with other tools


Progress

  • Separate command-line tools for DWI QC has been uploaded into NeuroLib:
    • DWIQCSliceChecker: for slice-wise intensity-related artifacts detection and gradient exclusion.
    • DWIQCInterlaceChecker: for interlace-wise Venetian blind artifacts detection and gradient exclusion.
    • DWIQCGradientChecker: for gradient-wise motion artifacts detection and gradient exclusion.
    • DWIBaselineAverager: for optimized multiple-b0 volume average in a nrrd DWI file.
  • DTIPrep will be updated soon with these new QC tools to give more flexibility to the QC/Prep pipeline.
  • I am still struggling with MINC2 :(.