Difference between revisions of "2014 Summer Project Week:Cortical Dysplasia Identification"
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<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | * Gray matter segmentation using expectation-maximization (EMS) algorithm shown | + | * 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) | * 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) | ||
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Revision as of 05:43, 27 June 2014
Home < 2014 Summer Project Week:Cortical Dysplasia IdentificationKey Investigators
- Luiz Murta
- Emylin Souza
- 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.
- 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)
