2012 Summer Project Week:Bladder Segmentation in Slicer

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Home < 2012 Summer Project Week:Bladder Segmentation in Slicer

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

Tools previously mentioned were successfully used to segment out the bladder from MRI images, and 3D images were rendered as a result. Three tutorial modules were created outlining the mechanism of execution, included in this page. Further segmentation efforts will be conducted on different data sets.

Draw Tutorial Crop and GrowCut Tutorial Combined GrowCut, Crop, and Draw Tutorial

Delivery Mechanism

N/A

References