Difference between revisions of "2011 Winter Project Week:SegEye"
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*We segmented the eye ball. | *We segmented the eye ball. | ||
*Experiments: | *Experiments: | ||
− | -VMTK Modules in Slicer for optic nerve segmentation. | + | #-VMTK Modules in Slicer for optic nerve segmentation. |
− | -The particle filtering based approach for nerve segmentation. | + | #-The particle filtering based approach for nerve segmentation. |
− | -Ellipse constrained segmentation of optic lens. | + | #-Ellipse constrained segmentation of optic lens. |
*Received a number of suggestions for future experiments: | *Received a number of suggestions for future experiments: | ||
− | -Incorporate constraints on Hounsfield units for segmentation of CT imagery. | + | #-Incorporate constraints on Hounsfield units for segmentation of CT imagery. |
− | -Use atlas for more robust localization of eye ball. | + | #-Use atlas for more robust localization of eye ball. |
− | -Add prior anatomical knowledge for optic nerve segmentation (surrounding bone easily visible). | + | #-Add prior anatomical knowledge for optic nerve segmentation (surrounding bone easily visible). |
Revision as of 23:18, 13 January 2011
Home < 2011 Winter Project Week:SegEye
Key Investigators
- Georgia Tech: Ivan Kolesov and Allen Tannenbaum
- MGH: Gregory Sharp
Objective
- We are interested in segmenting the eye ball, lens, optic nerve, and the optic chiasm.
- Anatomical structures are highly sensitive to radiation.
- We are creating a framework to perform these segmentations, which is likely to require a different approach for each structures due to the proximity of multiple structures to each other.
Approach
- The eye ball is considered to be the pivotal organ since its segmentation will localize the region of interest when looking for other structures.
- We will reduce the dimensionality of this problem by performing model based segmentation for each structure.
- Once the eye is segmented, we use this knowledge to locate the lens/ initialize optic nerve segmentation.
- We would like to leverage the information provided by a CT scan with additional data from an MRI -- we have to consider this registration problem.
Progress
- We segmented the eye ball.
- Experiments:
#-VMTK Modules in Slicer for optic nerve segmentation. #-The particle filtering based approach for nerve segmentation. #-Ellipse constrained segmentation of optic lens.
- Received a number of suggestions for future experiments:
#-Incorporate constraints on Hounsfield units for segmentation of CT imagery. #-Use atlas for more robust localization of eye ball. #-Add prior anatomical knowledge for optic nerve segmentation (surrounding bone easily visible).