Difference between revisions of "Projects/Diffusion/2007 Project Week DTI Registration"
From NAMIC Wiki
| (10 intermediate revisions by 3 users not shown) | |||
| Line 8: | Line 8: | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
| + | |||
<h1>Objective</h1> | <h1>Objective</h1> | ||
| − | + | 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). | ||
</div> | </div> | ||
| Line 16: | Line 18: | ||
<h1>Approach, Plan </h1> | <h1>Approach, Plan </h1> | ||
| + | |||
| + | 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. | ||
</div> | </div> | ||
| Line 22: | Line 26: | ||
<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 | ||
| + | * 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 | ||
| + | </div> | ||
| + | <br style="clear: both;" /> | ||
| + | </div> | ||
| + | =Additional Information= | ||
| + | [[Image:ptv.jpg|thumb|left|480px|Plot of MI versus xyz translation using PTV (T1 and T2 images)]] | ||
| + | [[Image:mattes.jpg|thumb|left|480px|Same plot using Mattes ]] | ||
| + | <br style="clear: both;" /> | ||
| − | |||
| − | |||
| − | |||
| − | == | + | ==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 | ||
Latest revision as of 13:40, 29 June 2007
Home < Projects < Diffusion < 2007 Project Week DTI Registration
Return to Project Week Main Page
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
