Difference between revisions of "2012 Summer Project Week:Intraoperative Tract Detection"
From NAMIC Wiki
| Line 2: | Line 2: | ||
<gallery> | <gallery> | ||
Image:PW-MIT2012.png|[[2012_Summer_Project_Week#Projects|Projects List]] | Image:PW-MIT2012.png|[[2012_Summer_Project_Week#Projects|Projects List]] | ||
| − | Image: | + | Image:PreliminaryWorkFiberSimilarity.pdf|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain. |
Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation. | Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation. | ||
</gallery> | </gallery> | ||
Revision as of 16:33, 15 June 2012
Home < 2012 Summer Project Week:Intraoperative Tract Detection
Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
Key Investigators
- BWH: Lauren O'Donnell, Isaiah Norton, Alex Golby
Objective
We are developing methods for intraoperative tract detection based on a preoperative plan.
Approach, Plan
Our approach for tract detection is to compare new tracts to the prior information (preoperative plan). Our plan for the project week is to integrate Python code into a slicer module <bar>,...
Progress
Delivery Mechanism
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)
- ITK Module
- Slicer Module
- Built-in
- Extension -- commandline
- Extension -- loadable
- Other (Please specify)
