Difference between revisions of "2012 Summer Project Week:Intraoperative Tract Detection"

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Image:PW-MIT2012.png|[[2012_Summer_Project_Week#Projects|Projects List]]
 
Image:PW-MIT2012.png|[[2012_Summer_Project_Week#Projects|Projects List]]
Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
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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.
 
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Revision as of 16:33, 15 June 2012

Home < 2012 Summer Project Week:Intraoperative Tract Detection

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)

  1. ITK Module
  2. Slicer Module
    1. Built-in
    2. Extension -- commandline
    3. Extension -- loadable
  3. Other (Please specify)

References