Difference between revisions of "2012 Summer Project Week:Bladder Segmentation in Slicer"
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Revision as of 14:20, 25 June 2012
Home < 2012 Summer Project Week:Bladder Segmentation in Slicer
Screenshot of Manual Needle Segmentation (20 minutes)
Screenshot of Single Needle Modeled With Tractography Fiducial Seeding Module
Screenshot of Multiple Needles Modeled With Tractography Fiducial Seeding Module (Hessian Image Visible)
Key Investigators
- UMass Amherst: Scott Tyler Blevins
- BWH: Scott Tyler Blevins, Nabgha Farhat, Jan Egger, Tobias Penzkofer, Tina Kapur
Objective
The goal of this project is to investigate efficient (less than 30s) methods for segmentation of bladder from MRI images of the female pelvis in Slicer.
Approach, Plan
We will explore different segmentation/editing tools in Slicer to determine which ones can most efficiently segment the bladder from MRI images of the female pelvis. Tools anticipated use include Growcut, Draw, and Crop.
Progress
Delivery Mechanism
N/A
