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 commandline tools for DWI QC has been uploaded into NeuroLib:
+
Separate command-line tools for DWI QC has been uploaded into NeuroLib:
* DWIQCSliceChecker: for slice-wise intensity-related artifactes detection and gradient exclusion.
+
* DWIQCSliceChecker: for slice-wise intensity-related artifacts detection and gradient exclusion.
* DWIQCInterlaceChecker: for interlace-wise Venetian blind artifactes detection and gradient exclusion.
+
* DWIQCInterlaceChecker: for interlace-wise Venetian blind artifacts detection and gradient exclusion.
* DWIQCGradientChecker: for gradient-wise motion artifactes 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.
 +
I am still struggling with MINC2 :(.
  
  
 
</div>
 
</div>

Revision as of 12:31, 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 :(.