2009 Summer Project Week Project Segmentation of Muscoskeletal Images

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Home < 2009 Summer Project Week Project Segmentation of Muscoskeletal Images

  • Knee MRI Image

  • Pre-Segmented Femur/Patella/Tibia Model.

  • EM Segmented Output.


Key Investigators

  • Stanford: Harish Doddi, Saikat Pal, Scott Delp
  • Harvard: Ron Kikinis
  • Steve Pieper, Isomics, Inc.

Objective

The aim of this project is to develop an automatic/semi-automatic methodology to convert whole body imaging datasets into three-dimensional models for neuromuscular biomechanics and finite element simulations.

Approach, Plan

We are working on understanding the capabilities of RegisterImage module in Slicer to apply to knee datasets. Currently we are conducting parameter exploration studies to evaluate the sensitivity of registered images to different input parameters associated with the algorithms. We are also developing a module to apply python ICP-based registration algorithms to directly morph a surface model to a target image geometry.

Our plan for the project week is to 

 a. Perform and evaluate results from an extensive 
 parameter space exploration study of 
 RegisterImages Batchmake module on knee dataset.
 b. Resolve issues in building Python modules from 
 slicer source code.
 c. Demonstrate proof of concept on registering an 
 existing atlas (.vtk, .stl) to a target image 
 using Python ICP Registration module.

Progress


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