Difference between revisions of "2012 Winter Project Week:DWIPhantom"

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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
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Our approach is composed of different steps, first creation of high resolution atlas and co-registration of structural atlas with shape space then creation of "random-sample" phantoms in shape space and application to fiber geometry in atlas space, finally the creation of DWI with different models, but our initial model is CHARMED.
+
Our approach is composed of different steps:
 +
 
 +
* creation of high resolution atlas:
 +
    -6 young adults scanned at 1.5mm3, 42 directions
 +
    -High resolution DWI atlas
 +
    -Full brain filtered two tensor tractography (Millions of fibers)
 +
 
 +
* co-registration of structural atlas with shape space:
 +
    -100 healthy (20 in each 18-29, 30-39, 40-49, 50-59, and 60+)
 +
    -Isomap vs (PCA + local mean)
 +
 +
* creation of "random-sample" phantoms in shape space:
 +
    -Pathology simulation here
 +
 
 +
* application to fiber geometry in atlas space
 +
 
 +
* creation of DWI with different models:
 +
    -Initial model is CHARMED only
  
  

Revision as of 15:45, 5 December 2011

Home < 2012 Winter Project Week:DWIPhantom

  • High resolution DTI atlas color orientation

  • High resolution DTI atlas (FA)


Key Investigators

  • UNC: Gwendoline Roger, Yundi Shi, Clement Vachet, Martin Styner, Sylvain Gouttard

Objective

Current software phantoms are quite abstract, quite far from human brain. The goal of the project is to create a software phantom that is human brain like for evaluating tractography algorithms. It will allow for simulating pathology, such as tumors, TBI, lesions.


Approach, Plan

Our approach is composed of different steps: 

* creation of high resolution atlas:
   -6 young adults scanned at 1.5mm3, 42 directions
   -High resolution DWI atlas
   -Full brain filtered two tensor tractography (Millions of fibers)

* co-registration of structural atlas with shape space:
   -100 healthy (20 in each 18-29, 30-39, 40-49, 50-59, and 60+)
   -Isomap vs (PCA + local mean)

* creation of "random-sample" phantoms in shape space: 
   -Pathology simulation here

* application to fiber geometry in atlas space

* creation of DWI with different models:
   -Initial model is CHARMED only


Progress


Delivery Mechanism


References

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