Difference between revisions of "AHM2009:UNC"

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|[[Image:screenshotBlank.png|thumb|280px|Caption 1]]
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|[[Image:BrainDevelopment.jpg|thumb|170px|Brain development]]
|[[Image:screenshotBlank.png|thumb|280px|Caption 2]]
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|[[Image:WMThickness.jpg|thumb|170px|Cortical thickness on WM surface]]
|[[Image:screenshotBlank.png|thumb|280px|Caption 3]]
 
 
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== Overview ==
 
== Overview ==
 
* What problem does the pipeline solve, and who is the targeted user?
 
* What problem does the pipeline solve, and who is the targeted user?
 +
 +
There is a lack of appropriate tools for processing of pediatric MRI, a challenging topic since pediatric MRI differs significantly from adult MRI due to variable brain shape and the process of maturation/myelination which are reflected in nonlinear shape/volume changes but also regional change of white matter....
 +
 +
We would like to create an end-to-end application within Slicer3 allowing individual and group analysis of regional and local cortical thickness. Such a workflow applied to the young brain (2-4 years old) is one goal of the UNC DBP
 +
 
* How does the pipeline compare to state of the art
 
* How does the pipeline compare to state of the art
 +
 +
A statistical analysis is currently performed in order to compare our pipeline with FreeSurfer. We use a pediatric dataset of 90 cases including controls autistic children and developmental-delays, 2 groups being considered: 2 year-old cases and 4-year old cases.
  
 
==Detailed Information about the Pipeline==
 
==Detailed Information about the Pipeline==
 
* Illustrate the components and workflow of the pipeline using your own data
 
* Illustrate the components and workflow of the pipeline using your own data
 
* Demonstrate parameters/steps that need to be adjusted using someone else's data
 
* Demonstrate parameters/steps that need to be adjusted using someone else's data
 +
 +
 +
* [[DBP2:UNC:Regional_Cortical_Thickness_Pipeline | Regional cortical thickness pipeline]]
 +
 +
* [[DBP2:UNC:Local_Cortical_Thickness_Pipeline | Local cortical thickness pipeline]]
  
 
==Software & documentation==
 
==Software & documentation==
* url for downloading all the software
+
* Executables and tutorial dataset: http://www.nitrc.org/projects/arctic/
* url for the end-user tutorial
 
  
 
==Team==
 
==Team==
* DBP: Affiliation & logo
+
* DBP: University of North Carolina at Chapel Hill
* Core 1: Affiliation & logo
+
** Co-PI: Heather Cody Hazlett, PhD
* Core 2: Affiliation & logo
+
** Co-PI: Joseph Piven, MD
* Contact: name, email
+
UNC DBP: Clement Vachet
 +
* Core 1: Martin Styner, UNC Chapel Hill
 +
** UNC Algorithm: Ipek Oguz, Nicolas Augier, Marcel Prastawa, Marc Niethammer, Cedric Mathieu, Clement Vachet
 +
* Core 2: Jim Miller, GE Research
 +
* Contact: Heather Cody Hazlett, PhD, (heather_cody at med.unc.edu, Ph: 919-966-4099)
  
 
==Outreach==
 
==Outreach==
 
* Publication Links to the PubDB.
 
* Publication Links to the PubDB.
 
* Planned outreach activities (including presentations, tutorials/workshops) at conferences
 
* Planned outreach activities (including presentations, tutorials/workshops) at conferences

Revision as of 01:24, 14 December 2008

Home < AHM2009:UNC

Back to AHM 2009 Agenda


UNC Roadmap Project

Brain development
Cortical thickness on WM surface

Overview

  • What problem does the pipeline solve, and who is the targeted user?

There is a lack of appropriate tools for processing of pediatric MRI, a challenging topic since pediatric MRI differs significantly from adult MRI due to variable brain shape and the process of maturation/myelination which are reflected in nonlinear shape/volume changes but also regional change of white matter....

We would like to create an end-to-end application within Slicer3 allowing individual and group analysis of regional and local cortical thickness. Such a workflow applied to the young brain (2-4 years old) is one goal of the UNC DBP

  • How does the pipeline compare to state of the art

A statistical analysis is currently performed in order to compare our pipeline with FreeSurfer. We use a pediatric dataset of 90 cases including controls autistic children and developmental-delays, 2 groups being considered: 2 year-old cases and 4-year old cases.

Detailed Information about the Pipeline

  • Illustrate the components and workflow of the pipeline using your own data
  • Demonstrate parameters/steps that need to be adjusted using someone else's data


Software & documentation

Team

  • DBP: University of North Carolina at Chapel Hill
    • Co-PI: Heather Cody Hazlett, PhD
    • Co-PI: Joseph Piven, MD

UNC DBP: Clement Vachet

  • Core 1: Martin Styner, UNC Chapel Hill
    • UNC Algorithm: Ipek Oguz, Nicolas Augier, Marcel Prastawa, Marc Niethammer, Cedric Mathieu, Clement Vachet
  • Core 2: Jim Miller, GE Research
  • Contact: Heather Cody Hazlett, PhD, (heather_cody at med.unc.edu, Ph: 919-966-4099)

Outreach

  • Publication Links to the PubDB.
  • Planned outreach activities (including presentations, tutorials/workshops) at conferences