Difference between revisions of "2013 Winter Project Week:MABS"
From NAMIC Wiki
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* Polina Golland, MIT | * Polina Golland, MIT | ||
| − | + | MABS is a program for multi-atlas based segmentation. It uses a database of multiple, segmented | |
| + | input images to produce a segmented result on a new image. The database is first "trained" | ||
| + | to improve both accuracy and speed. Then, when given a new case, examples are selected from the atlas, | ||
| + | registered to the new case, and then voting is performed to create an output segmentation. | ||
<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> | ||
| − | * | + | * Create command line module for multi-atlas based segmentation |
| − | * | + | * If time allows, begin working on loadable module |
| − | |||
</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> | ||
| − | + | * A command line module was started in Summer project week, but it is not complete | |
| + | * It needs a way to specify the atlas and training directories, and specify output | ||
| + | * To start with, we will export as Slicer labelmap, then move to RTSTRUCT after converting to loadable | ||
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | * | + | * TBA |
</div> | </div> | ||
</div> | </div> | ||
Revision as of 16:14, 7 January 2013
Home < 2013 Winter Project Week:MABS
Key Investigators
- Greg Sharp, Nadya Shusharina, MGH
- Polina Golland, MIT
MABS is a program for multi-atlas based segmentation. It uses a database of multiple, segmented input images to produce a segmented result on a new image. The database is first "trained" to improve both accuracy and speed. Then, when given a new case, examples are selected from the atlas, registered to the new case, and then voting is performed to create an output segmentation.
Objective
- Create command line module for multi-atlas based segmentation
- If time allows, begin working on loadable module
Approach, Plan
- A command line module was started in Summer project week, but it is not complete
- It needs a way to specify the atlas and training directories, and specify output
- To start with, we will export as Slicer labelmap, then move to RTSTRUCT after converting to loadable
Progress
- TBA
