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>
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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>
  
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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.
 
  
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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.