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Groupwise Registration and Atlas Estimation. Anand Rangarajan Center for Computer Vision, Graphics and Medical Imaging (CVGMI) University of Florida. Distribution Before Alignment. Direct Comparison of Subjects. Brain Functional Image. Alignment of Subjects. Distribution After Alignment.
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Groupwise Registration and Atlas Estimation Anand Rangarajan Center for Computer Vision, Graphics and Medical Imaging (CVGMI) University of Florida
Distribution Before Alignment Direct Comparison of Subjects Brain Functional Image Alignment of Subjects Distribution After Alignment Comparison of Subjects After Alignment Brain Mapping motivation
ICP: Iterated Closest Point RPM: Robust Point Matching
Change the choice of features to compare method I, II and III True Deformation (GRBF) Feature Matching Error Evaluation Estimated Deformation (TPS) Synthetic Study Setup Target Template Template Recovery
Results: Method I vs. Method III • 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 • 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
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