Projects/Diffusion/2007 Project Week DTI Registration

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Key Investigators

  • Utah: Ran Tao, Tom Fletcher, Ross Whitaker

Objective

We want to implement the Mutual Information metric using partial voluming for the registration of multi-modal images. The aim is to correct EPI distortions in diffusion-weighted images (DWIs).

Approach, Plan

Our approach is to register the DWIs to the baseline (B0) image using affine transformations and mutual information. We are implementing a version of MI that interpolates both joint histogram and partial voluming. This is smoother than the Mattes MI currently in ITK.

Progress

  • finished 3D mutual information metric coding
  • tested to register T2 diffusion weighted image to its own baseline T2 image
  • with the help of Luis, rewrote the code into ITK filter

Future Work

  • test the algorithm using Autism data and data from MIND
  • compare the acuracy between this MI metric and Matte Metric


Additional Information

Plot of MI versus xyz translation using PTV (T1 and T2 images)
Plot of MI versus xyz translation using PTV (T1 and T2 images)
Same plot using Mattes
Same plot using Mattes





Reference

  • Wei.M, Liu.Jundong and Liu.Junhong Artifact reduction in mutual-information-based CT-MR image registration in Medical Imaging 2004: Image Processing
  • Liu.J Artifacts reduction in mutual information-based image registration using prior information in Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference
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