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

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<h3>Progress</h3>
 
<h3>Progress</h3>
* Equations for conversion of signal to concentration for DSC have already been updated
+
* Updated the equations for conversion of signal intensity to concentration for DSC MRI
 +
* Updated the basic equations for computing DSC parametric maps (eg, Relative cerebral blood volume (rCBV) map)
 +
*
 
* Working on the parametric maps computation and DSC Dicom conversion
 
* Working on the parametric maps computation and DSC Dicom conversion
 
   
 
   

Revision as of 10:29, 24 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 (DSC) MRI 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.

DSC MRI Analysis GUI
Framework to Compute DSC Parametric Maps

Objective

  • Create a module for the analysis of Dynamic Susceptibility Contrast (DSC) MRI

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 sample cases from MGH

Progress

  • Updated the equations for conversion of signal intensity to concentration for DSC MRI
  • Updated the basic equations for computing DSC parametric maps (eg, Relative cerebral blood volume (rCBV) map)
  • Working on the parametric maps computation and DSC Dicom conversion

References