2013 Summer Project Week:SegmentationAidedRegistration
Two images (3D) to be registered.
Segmentation aided registration using this module.
Segmentation aided registration using this module, with red contour of left atrium.
MI registration.
Key Investigators
- Yi Gao, LiangJia Zhu, Josh Cates, Rob MacLeod, Sylvain Bouix, Ron Kikinis, Allen Tannenbaum
Objective
Among the AFib patients underwent RF ablation, the relative high AFib recurrence rate is a concern. The correlation between the cure/recurrence ratio with the distribution of the fibrosis would provide insight on the disease assessment and treatment planning.
Approach, Plan
The fibrosis distributions on the left atrium wall is imaged using the dynamic contrast enhanced MRI. Distributed on different anatomical structures, they are considered as "mass" defined on different domains. Under the framework of the optimal mass transport (OMT), the masses are transported to a common domain where the statistical analysis can then be applied. The significant different regions are then characterized by the low-p-value regions.
Progress
C++ code using ITK and VTK is finished.
Delivery Mechanism
This work will be delivered to the NA-MIC Kit as a commandline extension.
References
- Utah DBP
- Y. Gao and S. Bouix, “Synthesis of realistic subcortical anatomy with known surface deformations,” in MICCAI Workshop on Mesh Processing in Medical Image Analysis, 2012, pp. 80–88.
- T. Riklin-Raviv, Y. Gao, J. Levitt, and S. Bouix, “Statistical shape analysis for population studies via level-set based shape morphing,” in ECCV Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, 2012, pp. 42–51.
