Groupwise Registration and Atlas Estimation

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Presentation transcript:

Groupwise Registration and Atlas Estimation Anand Rangarajan Center for Computer Vision, Graphics and Medical Imaging (CVGMI) University of Florida

Brain Mapping motivation Direct Comparison of Subjects Distribution Before Alignment Brain Functional Image Alignment of Subjects A good example to understand the need of brain registration/alignment. Find significant links between certain structures and certain functions. Need to look at multiple people. Comparison of Subjects After Alignment Distribution After Alignment

ICP: Iterated Closest Point RPM: Robust Point Matching First some representative examples.

Synthetic Study Setup Change the choice of features to compare method I, II and III Template True Deformation (GRBF) Target Error Evaluation Feature Matching To carry this comparison objectively, synthetic experiments. /// real data no ground truth. Hard for quantitative comparison. Setup. /// (Note the different transformation used). /// Error by comparing the volume. Choice of feature. Estimated Deformation (TPS) Template Recovery

Results: Method I vs. Method III Results: I vs III /// Rich information, major ones. /// III smaller errors. Outer cortical surface alone can not provide adequate information for sub-cortical structures. Combination of two features works better.

Results: Method II vs. Method III Errors, II significantly big for a few structures. Major sulcal ribbons alone are too sparse --- the brain structures that are relatively far away from the ribbons got poorly aligned. Combination of two features works better.

Shape Atlas Estimation Nine 3D hippocampal point-sets

Estimated atlas Overlay of point-sets Point-sets warped into atlas space Affine warping

Atlas Estimation in 3D

Groupwise Image Registration No reference image

Multiple Image results VHD Segmented VHD Brainweb

Acknowledgements Collaborators Haili Chui (R2 Technologies) Jim Duncan (Yale) Stephan Eisenschenk (Neurology, UF) Ajay Gopinath (GE Global Research) Hongyu Guo (Texas A&M) Sarang Joshi (UNC, Chapel Hill) Christiana M. Leonard (Neuroscience, MBI, UF) Adrian Peter (UF) Arunabha Roy (GE Global Research) Ilona Schmalfuss (Neuroradiology, UF) Bob Schultz (Yale) Baba Vemuri (UF) Fei Wang (IBM) Laurent Younes (Johns Hopkins) Jie Zhang (Oracle) Supported in part by NSF 0196457, NSF 0307712 and NIH R01 NS046812