Difference between revisions of "2014 Summer Project Week:Cortical Dysplasia Identification"
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==Key Investigators== | ==Key Investigators== | ||
* Luiz Murta | * Luiz Murta | ||
− | * Emylin | + | * Emylin Sousa |
* Tina Kapur | * Tina Kapur | ||
* Ron Kikinis | * Ron Kikinis | ||
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− | |||
==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. | ||
− | * Started understanding and adapting existing code (ARCTIC) to estimate thickness. (with the of Clement Vachet | + | * 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. ( | + | * 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) |
</div> | </div> | ||
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Latest revision as of 14:11, 27 June 2014
Home < 2014 Summer Project Week:Cortical Dysplasia IdentificationKey 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)