Difference between revisions of "2013 Project Week:CARMA LA Seg Gopal"
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[[File:file_here.png|thumb|center|Image Here]] | [[File:file_here.png|thumb|center|Image Here]] | ||
| − | + | The goal of this project is to begin Slicer implementation and testing of Gopal and Ross' segmentation method: "Left atrial wall segmentation using intensity profile based feature detector and optimal graph-cuts. Our objective is to implement this method in Slicer" | |
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<div style="margin: 20px;"> | <div style="margin: 20px;"> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
| − | * | + | The functional modules required to fully implement this approach are as follows: |
| − | * | + | * Build models |
| − | * | + | * User input to provide seed point for mesh |
| + | * Given a set of models and test image produce. | ||
| + | * Output is a point-set. Slicer can already convert to image, using surface reconstruction and scan conversion. | ||
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
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<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Progress</h3> | <h3>Progress</h3> | ||
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</div> | </div> | ||
</div> | </div> | ||
Revision as of 23:00, 11 December 2012
Home < 2013 Project Week:CARMA LA Seg Gopal
Key Investigators
Gopal Veni, Salma Bengali, Greg Gardner, Alan Morris, Josh Cates, Rob MacLeod, Ross Whitaker)
File:File here.png
Image Here
The goal of this project is to begin Slicer implementation and testing of Gopal and Ross' segmentation method: "Left atrial wall segmentation using intensity profile based feature detector and optimal graph-cuts. Our objective is to implement this method in Slicer"
Objective
The functional modules required to fully implement this approach are as follows:
- Build models
- User input to provide seed point for mesh
- Given a set of models and test image produce.
- Output is a point-set. Slicer can already convert to image, using surface reconstruction and scan conversion.
