Difference between revisions of "2012 Summer Project Week:4D Segmentation TBI"
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Our plan for the project week: | Our plan for the project week: | ||
* check all the data we have and discuss with our collaborators about the missing modalities and artifacts of some subjects | * check all the data we have and discuss with our collaborators about the missing modalities and artifacts of some subjects | ||
| − | * do more test using all the data | + | * do more test using all the data |
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Revision as of 07:08, 18 June 2012
Home < 2012 Summer Project Week:4D Segmentation TBI
Key Investigators
- Utah: Bo Wang, Marcel Prastawa, and Guido Gerig
- UCLA: Andrei Irimia, Micah Chambers, Jack Van Horn and Paul M. Vespa
Objective
For quantitatively analyzing the recovery and treatment efficacy of MR images with traumatic brain injury (TBI), we introduce a multimodal image segmentation framework for longitudinal TBI images. In the case of longitudinal images with TBI present topological changes over time due to the effect of the impact force and the recovery process, we propose a novel atlas construction scheme that explicitly models the effect of topological changes [1]. The objective of this project week is to contact our collaborators and discuss with them about all the current data set and test the current algorithm by doing more validation.
Approach, Plan
Our plan for the project week:
- check all the data we have and discuss with our collaborators about the missing modalities and artifacts of some subjects
- do more test using all the data
Progress
References
- Bo Wang, Marcel Prastawa, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, and Guido Gerig, Segmentation of Serial MRI of TBI patients using Personalized Atlas Construction and Topological Change Estimation, IEEE International Symposium on Biomedical Imaging (ISBI) 2012.
