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Tumor treatment response identification using combination post-treatment mapping simulation to quantify voxel-wise multiparameter MRI biomarker changes

Thursday, October 11, 2012 — Poster Session III

10:00 a.m. – Noon

Natcher Conference Center, Building 45




  • D Thomasson
  • J Senseney
  • R Somer
  • J Jagannathan
  • K Zukotynski
  • M Schieke


Simultaneous use of multiple MRI biomarkers from multiparameter MRI datasets could enhance detection of early tumor treatment responses. Post-treatment mapping utilizes registration of post-treatment MRI images with pre-treatment MRI images to assess voxel-per-voxel tumor changes. MIPAV software is used to analyze a combination voxel-wise post-treatment mapping strategy using simulations of growing and shrinking tumors with pre- and post-treatment parameter values matching tumor responses seen in clinical studies. This methodology is used to test whether combining multiple MRI biomarkers into "combination" maps improves the accuracy of parameter measures by reducing partial volume errors. This approach also has the potential to improve the specificity of voxel-wise tissue characterization of tumor responses following treatment.

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