Difference between revisions of "2015 Summer Project Week:DSC"
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
* Start with [http://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Modules/PkModeling Slicer PKmodule] | * Start with [http://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Modules/PkModeling Slicer PKmodule] | ||
| − | * Find DICOM tag to identify DSC different time frame and load them as 4D data | + | * Find the DICOM tag to identify DSC different time frame and load them as 4D data |
* Update equations for conversion of signal to concentration for DSC | * Update equations for conversion of signal to concentration for DSC | ||
* Compute DSC parametric maps(eg, rCBV) | * Compute DSC parametric maps(eg, rCBV) | ||
Revision as of 21:56, 20 June 2015
Home < 2015 Summer Project Week:DSC
Key Investigators
- Xiao Da (MGH), Yangming Ou (MGH), Andriy Fedorov (BWH), Steve Pieper (Isomics), Jayashree Kalpathy-Cramer (MGH)
Project Description
Dynamic susceptibility contrast material–enhanced (DSC) magnetic resonance (MR) imaging is an important functional imaging method that enables quantitative assessment of tissue hemodynamic patterns. Abnormality of blood flow, volume, and permeability is frequently observed during tumor growth, and characterization of these perfusion attributes has become clinically important for both diagnosis and therapy planning.
Objective
- Create a module for the analysis of Dynamic Susceptibility Contrast MRI (DSC)
Approach, Plan
- Start with Slicer PKmodule
- Find the DICOM tag to identify DSC different time frame and load them as 4D data
- Update equations for conversion of signal to concentration for DSC
- Compute DSC parametric maps(eg, rCBV)
- Test some MGH brain tumor cases
Progress
- Equations for conversion of signal to concentration for DSC have already been updated
