Difference between revisions of "2013 Winter Project Week:MABS"
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<gallery> | <gallery> | ||
Image:PW-SLC2013.png|[[2013_Winter_Project_Week#Projects|Projects List]] | Image:PW-SLC2013.png|[[2013_Winter_Project_Week#Projects|Projects List]] | ||
| + | Image:NAMIC_mabs_1.jpg | ||
| + | Image:NAMIC_mabs_2.jpg | ||
</gallery> | </gallery> | ||
==Key Investigators== | ==Key Investigators== | ||
| − | Greg Sharp, Nadya Shusharina, Polina Golland | + | * 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. | ||
<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> | ||
| − | * | + | * First results! |
| + | * Segmented the brainstem using an atlas of two subjects. | ||
</div> | </div> | ||
</div> | </div> | ||
Latest revision as of 01:04, 11 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
- First results!
- Segmented the brainstem using an atlas of two subjects.
