Difference between revisions of "2015 Summer Project Week:T1 mapping"
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==Project Description== | ==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. | ||
<div style="margin: 20px;"> | <div style="margin: 20px;"> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
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* Start with prostate diffusion module | * Start with 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] | ||
+ | * Test the Slicer module on MGH Brain Tumor MR Data with multiple flip angles | ||
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Progress</h3> | <h3>Progress</h3> | ||
− | * | + | * Equations have already been updated |
+ | * Working on the GUI | ||
+ | * Working on the comparison | ||
</div> | </div> | ||
</div> | </div> | ||
+ | |||
+ | ==References== | ||
+ | |||
+ | * [https://dblab.duhs.duke.edu/modules/QIBAcontent/index.php?id=1 QIBA T1 phantom] | ||
+ | * [http://europepmc.org/articles/pmc3620726 Basic equation for T1] |
Revision as of 21:00, 20 June 2015
Home < 2015 Summer Project Week:T1 mappingContents
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
- Start with prostate diffusion module
- Update equations for T1 mapping
- Compare the results using C++, Python, Freesurfer with ground truth of T1 for QIBA phantom
- Test the Slicer module on MGH Brain Tumor MR Data with multiple flip angles
Progress
- Equations have already been updated
- Working on the GUI
- Working on the comparison