View source for Multimodality Image Registration for TBI

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Image:PW-MIT2011.png|[[2011_Summer_Project_Week#Projects|Projects List]]
Image::BRAINSCutFigure.png|BRAINSCut Result Example
Image:t1e1.png|T1 exam1
Image:t1e2.png|T1 exam2
Image:t1e1deformedM.png|T1 deformed
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'''Multimodality Image Registration for Traumatic Brain Injury (TBI)'''

==Key Investigators==
* Georgia Tech: Yifei Lou and Allen Tannenbaum
* UCLA: Micah Chambers, Andrei Irimia


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<h3>Objective</h3>

* Understanding brain injury using (multimodal) deformable image registration
* Robust registrations inspire of topological changes (enforcing zero flow?)
* The algorithm is based on a viscous fluid model, which can handle larger deformable as compared to the B-spline type of methods
* CUDA-based implementation, which takes 1 min for 256x256x60


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<h3>Approach, Plan</h3>

* Integration into Slicer3 Module 
* Learn more about TBI and our data set from Micah (UCLA NA-MIC TBI DBP team member)
* Validate algorithm on additional TBI datasets from UCLA

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<h3>Progress</h3>

* Learn more about TBI and ITK/Slicer
* Demonstrate the efficiency of my algorithm on TBI data
* Its failure in one registration case suggests us dividing 12 modalities into 2 subgroups and co-register within group
* plan to write a paper and integrate my algorithm into ITK/Slicer



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==References==
'''1''' Yifei Lou and Allen Tannenbaum. Multimodal Deformable Image Registration via the Bhattacharyya Distance. Submitted to IEEE Trans. Image Process. 2011

'''2''' Yifei Lou, Xun Jia, Xuejun Gu and Allen Tannenbaum. A GPU-based Implementation of Multimodal Deformable Image Registration Based on Mutual Information or Bhattacharyya Distance. Insight Journal, 2011. [[http://www.midasjournal.org/browse/publication/803]]
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==Delivery Mechanism==

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This work will be delivered to the NAMIC Kit as a 

#NITRIC distribution
#Slicer Module
##Built-in: NO
##Extension -- commandline:  NO
##Extension -- loadable:  NO