Difference between revisions of "2015 Summer Project Week:T1 mapping"
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| − | * 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
- 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
