Difference between revisions of "2014 Summer Project Week:Cortical Dysplasia Identification"

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==Key Investigators==
 
==Key Investigators==
 
* Luiz Murta
 
* Luiz Murta
* Emylin Souza
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* Emylin Sousa
 
* Tina Kapur
 
* Tina Kapur
 
* Ron Kikinis
 
* Ron Kikinis
 
 
  
 
==Project Description==
 
==Project Description==
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<h3>Progress</h3>
 
<h3>Progress</h3>
 
* Gray matter segmentation using expectation-maximization (EMS) algorithm has shown accuracy and robustness in cortical dysplasia data.
 
* Gray matter segmentation using expectation-maximization (EMS) algorithm has shown accuracy and robustness in cortical dysplasia data.
* Scripted module for registration between pre- and post-surgical volumes and quadratic difference volume computation to highlight resection. (almost done, thanks to help from Jim Miller and Steve Piepen)
+
* Started understanding and adapting existing code (ARCTIC) to estimate thickness. (with the help of Clement Vachet and Marcel Prastawa)
 +
* Scripted module for registration between pre- and post-surgical volumes and quadratic difference volume computation to highlight resection. (Almost done, thanks for help from Jim Miller and Steve Pieper)
 
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Latest revision as of 14:11, 27 June 2014

Home < 2014 Summer Project Week:Cortical Dysplasia Identification

Key Investigators

  • Luiz Murta
  • Emylin Sousa
  • Tina Kapur
  • Ron Kikinis

Project Description

Objective

  • Find, construct and validate tools to investigate the presence and location of the epileptogenic focus through analysis of: cortical thickness, texture patterns.
  • Investigates image registration as computational tool to compare pre and post MRI in epilepsy surgery.

Approach, Plan

  • Structure and tissue segmentation of cortex.
  • Cortical thickness evaluation, grey matter texture analysis.
  • Pre and post surgical MRI registration, localization of resection.

Progress

  • Gray matter segmentation using expectation-maximization (EMS) algorithm has shown accuracy and robustness in cortical dysplasia data.
  • Started understanding and adapting existing code (ARCTIC) to estimate thickness. (with the help of Clement Vachet and Marcel Prastawa)
  • Scripted module for registration between pre- and post-surgical volumes and quadratic difference volume computation to highlight resection. (Almost done, thanks for help from Jim Miller and Steve Pieper)