Difference between revisions of "Stanford SIMBIOS: Whole Body Segmentation for Simulation"

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<h1>Objective</h1>
 
<h1>Objective</h1>
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Develop an interactive tutorial for use with the IA-FEMesh module in Slicer3.
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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.  Initially, we will investigate the existing capabilities in EMSegmenter software to automatically segment the knee joint.
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This tutorial will outline the steps required for using the building block
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approach developed for this module. An example dataset for the proximal phalanx
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from a cadaveric specimen will be used as the data for the tutorial. At the end
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of the tutorial, users should be able to mesh any arbitrary structure from a  
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<h1>Approach, Plan</h1>
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surface defining the object of interest.
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Investigate the existing functionality of EMSegementer to extract whole body models from CT and MR datasets.  Initial efforts will be focused on developing atlases of specific joints (e.g. the knee) and evaluating EMSegmenter algorithms.  The plan is to have imported MRI knee geometries in EMSegmenter and create an average atlas before the project week. During the project week, the EMSegmenter algorithm will be tested on a specific subject geometry.
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<h1>Progress</h1>
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A tutorial has been developed and data is available for tutorial
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Revision as of 21:34, 15 December 2008

Home < Stanford SIMBIOS: Whole Body Segmentation for Simulation

Key Investigators

  • Stanford: Harish Doddi, Saikat Pal, and Scott Delp
  • WashU: Daniel Marcus
  • Harvard: ??

Tutorial

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. Initially, we will investigate the existing capabilities in EMSegmenter software to automatically segment the knee joint.

Approach, Plan

Investigate the existing functionality of EMSegementer to extract whole body models from CT and MR datasets. Initial efforts will be focused on developing atlases of specific joints (e.g. the knee) and evaluating EMSegmenter algorithms. The plan is to have imported MRI knee geometries in EMSegmenter and create an average atlas before the project week. During the project week, the EMSegmenter algorithm will be tested on a specific subject geometry.

Progress

A tutorial has been developed and data is available for tutorial


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