Difference between revisions of "2008 Summer Project Week:AtlasFreeSegmentation"

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(New page: ===Key Investigators=== * MIT: Tammy Riklin-Raviv, Polina Golland <div style="margin: 20px;"> <div style="width: 27%; float: left; padding-right: 3%;"> <h1>Objective</h1> ur objective i...)
 
 
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===Key Investigators===
 
===Key Investigators===
 
* MIT: Tammy Riklin-Raviv, Polina Golland
 
* MIT: Tammy Riklin-Raviv, Polina Golland
 
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* UNC: Clement Vachet, Martin Styner
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<h1>Objective</h1>
 
<h1>Objective</h1>
ur objective is the simultaneous segmentation of N aligned MR images where the regions of interest are corresponding anatomical (brain) structures across N subjects.
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Our objective is the simultaneous segmentation of N aligned MR images where the regions of interest are corresponding anatomical (brain) structures across N subjects.
 
We assume that a probability atlas is not available.
 
We assume that a probability atlas is not available.
 
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<h1>Approach, Plan</h1>
 
<h1>Approach, Plan</h1>
  
We developed an EM approach for the simultaneous segmentation of N images while alternately estimating the probability map of the region of interest based on the segmentations obtained in the previous iteration.
 
  
In the project week we plan to test the algorithm developed on the UNC Autism MRI data.
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In the project week we plan to test the algorithm developed for atlas free segmentation on the UNC Pediatric (Autism) MRI data (http://www.na-mic.org/Wiki/index.php/DBP2:UNC).
 
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Latest revision as of 18:28, 24 June 2008

Home < 2008 Summer Project Week:AtlasFreeSegmentation

Key Investigators

  • MIT: Tammy Riklin-Raviv, Polina Golland
  • UNC: Clement Vachet, Martin Styner


Objective

Our objective is the simultaneous segmentation of N aligned MR images where the regions of interest are corresponding anatomical (brain) structures across N subjects. We assume that a probability atlas is not available.

Approach, Plan


In the project week we plan to test the algorithm developed for atlas free segmentation on the UNC Pediatric (Autism) MRI data (http://www.na-mic.org/Wiki/index.php/DBP2:UNC).

Progress

We have implemented the algorithm and tested it on MRI images of 50 subjects.