Difference between revisions of "2015 Summer Project Week:DSC"

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<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
* Start with 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
 
* Update equations for conversion of signal to concentration
 
* Update equations for conversion of signal to concentration
 
+
* Compute DSC parametric maps(eg, rCBV)
 +
* Test some MGH brain tumor cases
 
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</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>
*
+
* The equations for conversion of signal to concentration for DSC have already been updated.
 
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Revision as of 21:44, 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 DICOM tag to identify DSC different time frame and load them as 4D data
  • Update equations for conversion of signal to concentration
  • Compute DSC parametric maps(eg, rCBV)
  • Test some MGH brain tumor cases

Progress

  • The equations for conversion of signal to concentration for DSC have already been updated.