Difference between revisions of "SkullStripper"
Sylvainjaume (talk | contribs) (create a wiki page to describe development of Slicer3 SkullStripper module) |
Sylvainjaume (talk | contribs) |
||
Line 14: | Line 14: | ||
==Key Investigators== | ==Key Investigators== | ||
− | * | + | * University of Heidelberg: Martin Loepprich MS |
− | * | + | * MIT CSAIL: Sylvain Jaume PhD |
+ | * Harvard Medical School: Andriy Fedorov PhD, Ron Kikinis MD | ||
<div style="margin: 20px;"> | <div style="margin: 20px;"> | ||
Line 21: | Line 22: | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
− | We are developing | + | Skull Stripping is a 3D image processing technique to mask out non-brain areas in MRI images. |
− | + | Skull Stripping is often required before applying a segmentation technique such as the | |
− | + | [http://wiki.na-mic.org/Wiki/index.php/EMSegment EM Segmentation]. | |
− | + | We are developing a Skull Stripping module in Slicer3 that will be able to work both on human MRIs and on monkey MRIs. | |
− | + | This project is in collaboration with the NA-MIC project for the investigation of | |
− | + | [http://wiki.na-mic.org/Wiki/index.php/Measuring_Alcohol_Stress_Interaction Alcohol Stress Interaction] | |
+ | using monkey MRI images by Andriy Fedorov (BWH), Xiaoxing Li (VT) and Chris Wyatt (VT). | ||
</div> | </div> | ||
Line 34: | Line 36: | ||
<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
− | Our | + | Our module, called SkullStripper, is based on the work of the NA-MIC consortium |
− | + | done by Snehashis Roy (JHU), Xiaodong Tao (GE) and Nicole Aucoin (BWH). | |
− | + | First we will perform a comparison study of the Slicer3 module SkullStripper | |
+ | and the FSL Brain Extraction Tool (BET). | ||
</div> | </div> | ||
Line 43: | Line 46: | ||
<h3>Progress</h3> | <h3>Progress</h3> | ||
− | |||
Revision as of 23:16, 29 October 2009
Home < SkullStripperInstructions for Use of this Template
- Please create a new wiki page with an appropriate title for your project using the convention Project/<Project Name>
- Copy the entire text of this page into the page created above
- Link the created page into the list of projects for the project event
- Delete this section from the created page
- Send an email to tkapur at bwh.harvard.edu if you are stuck
Key Investigators
- University of Heidelberg: Martin Loepprich MS
- MIT CSAIL: Sylvain Jaume PhD
- Harvard Medical School: Andriy Fedorov PhD, Ron Kikinis MD
Objective
Skull Stripping is a 3D image processing technique to mask out non-brain areas in MRI images. Skull Stripping is often required before applying a segmentation technique such as the EM Segmentation. We are developing a Skull Stripping module in Slicer3 that will be able to work both on human MRIs and on monkey MRIs. This project is in collaboration with the NA-MIC project for the investigation of Alcohol Stress Interaction using monkey MRI images by Andriy Fedorov (BWH), Xiaoxing Li (VT) and Chris Wyatt (VT).
Approach, Plan
Our module, called SkullStripper, is based on the work of the NA-MIC consortium done by Snehashis Roy (JHU), Xiaodong Tao (GE) and Nicole Aucoin (BWH). First we will perform a comparison study of the Slicer3 module SkullStripper and the FSL Brain Extraction Tool (BET).
Progress
References
- Fletcher P, Tao R, Jeong W, Whitaker R. A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI. Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
- Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Med Image Anal. 2006 Oct;10(5):786-98. PMID: 16926104.
- Corouge I, Fletcher P, Joshi S, Gilmore J, Gerig G. Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9. PMID: 16685838.
- Goodlett C, Corouge I, Jomier M, Gerig G, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .