Difference between revisions of "2015 Summer Project Week:T1 mapping"

From NAMIC Wiki
Jump to: navigation, search
Line 17: Line 17:
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
* Start with prostate diffusion module
+
* Start with [http://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Modules/DWModeling prostate diffusion module]
 
* Update equations for T1 mapping
 
* Update equations for T1 mapping
 
* Compare the results using C++, [http://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Modules/T1_Mapping Python], [https://surfer.nmr.mgh.harvard.edu/fswiki/mri_ms_fitparms  Freesurfer ] with ground truth of T1 for [https://dblab.duhs.duke.edu/modules/QIBAcontent/index.php?id=1  QIBA phantom]
 
* Compare the results using C++, [http://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Modules/T1_Mapping Python], [https://surfer.nmr.mgh.harvard.edu/fswiki/mri_ms_fitparms  Freesurfer ] with ground truth of T1 for [https://dblab.duhs.duke.edu/modules/QIBAcontent/index.php?id=1  QIBA phantom]

Revision as of 21:37, 20 June 2015

Home < 2015 Summer Project Week:T1 mapping

Key Investigators

  • Xiao Da (MGH), Yangming Ou (MGH), Andriy Fedorov (BWH), Jayashree Kalpathy-Cramer (MGH)

Project Description

T1 mapping estimates effective tissue parameter maps (T1) from multi-spectral FLASH MRI scans with different flip angles. T1 mapping can be used to optimize parameters for a sequence, monitor diseased tissue, measure Ktrans in DCE-MRI and etc.

Objective

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

Approach, Plan

Progress

  • Equations have already been updated
  • Working on the GUI
  • Working on the comparison

References