Difference between revisions of "2012 Summer Project Week:4D Segmentation TBI"
From NAMIC Wiki
| Line 13: | Line 13: | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
| + | |||
| + | 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 address this issue by defining a novel atlas construction scheme that explicitly models the effect of topological changes [1]. In this week, we want to do the following specific tasks. | ||
* check the current data set | * check the current data set | ||
* algorithm evaluation | * algorithm evaluation | ||
Revision as of 06:54, 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 address this issue by defining a novel atlas construction scheme that explicitly models the effect of topological changes [1]. In this week, we want to do the following specific tasks.
- check the current data set
- algorithm evaluation
Approach, Plan
Our plan for the project week:
- check all the data we have and discuss with our collaborators
- 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.
