Difference between revisions of "Stanford Simbios group"

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==Atlas Generation from Input MR Images==
 
==Atlas Generation from Input MR Images==
 
===Model Generation from Input MR Images===
 
===Model Generation from Input MR Images===
Pre-Segmented models for femur, patella and tibia are obtained for a patient (in .stl format). This models can be prepared using the hypermesh software. The models contain vertices of triangles representing femur, tibia and patella regions.  
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Pre-Segmented models for femur, patella and tibia are obtained for a patient (in .stl format). This models can be prepared using the hypermesh software. The models contain vertices of triangles representing femur, tibia and patella regions.
 
[[Image:All_Three.JPG|left|thumb| Pre-Segmented Femur/Patella/Tibia Model]]
 
[[Image:All_Three.JPG|left|thumb| Pre-Segmented Femur/Patella/Tibia Model]]
  
 
===Create a filled label map using PolyDataToFilledLabelMap module in slicer===
 
===Create a filled label map using PolyDataToFilledLabelMap module in slicer===
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The models generated in the above step are closed but hollow. But EM Segmentation requires the atlas given to be in closed filled format. Hence we converted the hollow closed models into filled label volumes using the module PolyDataToFilledLabelMap module in Slicer.
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<gallery widths="400px" perrow="6">
 +
Image:All_Three.JPG
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Image:All_Three.JPG
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Image:All_Three.JPG
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</gallery>
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===EM Segmentation based on the atlas===
 
===EM Segmentation based on the atlas===
  

Revision as of 18:16, 28 April 2009

Home < Stanford Simbios group


Aim

To develop a generic semi-automatic segmentation toolkit to convert images of musculoskeletal structures to 3D models.

Process Flowchart

Process Diagram.

Progress

Atlas Generation from Input MR Images

Model Generation from Input MR Images

Pre-Segmented models for femur, patella and tibia are obtained for a patient (in .stl format). This models can be prepared using the hypermesh software. The models contain vertices of triangles representing femur, tibia and patella regions.

Pre-Segmented Femur/Patella/Tibia Model

Create a filled label map using PolyDataToFilledLabelMap module in slicer

The models generated in the above step are closed but hollow. But EM Segmentation requires the atlas given to be in closed filled format. Hence we converted the hollow closed models into filled label volumes using the module PolyDataToFilledLabelMap module in Slicer.

EM Segmentation based on the atlas

Register Images

Register Images Module in Slicer

Datasets