Difference between revisions of "Projects/Diffusion/2007 Project Week DTI Registration"
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<h1>Progress</h1> | <h1>Progress</h1> | ||
| − | * | + | * finished 3D mutual information metric coding |
| − | * tested to register T2 diffusion weighted image to its own baseline T2 image | + | * 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 | ||
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Latest revision as of 13:40, 29 June 2007
Home < 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
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
