Difference between revisions of "T1 mapping for variable flip angle"

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<h3>Objective</h3>
 
<h3>Objective</h3>
 
* Estimate effective T1 from multi-spectral FLASH MRI scans with different flip angles
 
* Estimate effective T1 from multi-spectral FLASH MRI scans with different flip angles
 +
* Implement T1 mapping algorithm as a Slicer extension.
 
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</div>
 
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* Run Python script and [https://surfer.nmr.mgh.harvard.edu/fswiki/mri_ms_fitparms  Freesurfer code] on [https://dblab.duhs.duke.edu/modules/QIBAcontent/index.php?id=1  QIBA T1 phantom]
 
* Run Python script and [https://surfer.nmr.mgh.harvard.edu/fswiki/mri_ms_fitparms  Freesurfer code] on [https://dblab.duhs.duke.edu/modules/QIBAcontent/index.php?id=1  QIBA T1 phantom]
 
* Test the Slicer module on MGH Brain Tumor MR Data with multiple flip angles
 
* Test the Slicer module on MGH Brain Tumor MR Data with multiple flip angles
 +
* Go through Slicer tutorials and developer forum to learn how to implement Slicer extensions.
 +
* Go over VTK documentation to learn how it works.
 
</div>
 
</div>
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
 
* Compared the results using Python with Freesurfer and ground truth of T1 for QIBA data
 
* Compared the results using Python with Freesurfer and ground truth of T1 for QIBA data
* T1 mapping results on QIBA data using Slicer+Python are almost identical to the results using Freesurfer and comparable with the ground truth  
+
* T1 mapping results on QIBA data using Slicer+Python are almost identical to the results using Freesurfer and comparable with the ground truth.
 +
* Implemented T1 mapping as a Slicer extension using python. The extension has GUI that as an input takes 6 DICOM images with corresponding flip angles and repetition time. The extension computes T1s and stores them in a new VTK volume node.
 
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Revision as of 22:16, 10 January 2015

Home < T1 mapping for variable flip angle

Key Investigators

  • MGH: Xiao Da, Artem Mamonov, Jayashree Kalpathy-Cramer
  • BWH: Andriy Fedorov

Project Description

Objective

  • Estimate effective T1 from multi-spectral FLASH MRI scans with different flip angles
  • Implement T1 mapping algorithm as a Slicer extension.

Approach, Plan

  • Create a Slicer module for T1 mapping for multiple flip angles using Python script
  • Run Python script and Freesurfer code on QIBA T1 phantom
  • Test the Slicer module on MGH Brain Tumor MR Data with multiple flip angles
  • Go through Slicer tutorials and developer forum to learn how to implement Slicer extensions.
  • Go over VTK documentation to learn how it works.

Progress

  • Compared the results using Python with Freesurfer and ground truth of T1 for QIBA data
  • T1 mapping results on QIBA data using Slicer+Python are almost identical to the results using Freesurfer and comparable with the ground truth.
  • Implemented T1 mapping as a Slicer extension using python. The extension has GUI that as an input takes 6 DICOM images with corresponding flip angles and repetition time. The extension computes T1s and stores them in a new VTK volume node.

References