Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration

• Published in: IEEE transactions on medical imaging Vol. 29; no. 3; pp. 650 - 668
• Main Authors: Yeo, B.T.T., Sabuncu, M.R., Vercauteren, T., Ayache, N., Fischl, B., Golland, P.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2010; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Algorithms; Artificial intelligence; Bioengineering; Biomedical imaging; Cerebral Cortex - anatomy & histology; Computer Science; Cortical registration; demons; diffeomorphism; Engineering profession; Engineering Sciences; Humans; Image Processing, Computer-Assisted; Image segmentation; Imaging; In vivo; Interpolation; Iterative algorithms; Least-Squares Analysis; Life Sciences; Magnetic Resonance Imaging - methods; Medical Imaging; Modeling and Simulation; Models, Biological; Position (location); Reproducibility of Results; Segmentation; Signal and Image processing; Smoothing methods; spherical registration; Spline; surface registration; Surgical implants; Time Factors; vector field interpolation; Warpage; Warping

We present the Spherical Demons algorithm for registering two spherical images. By exploiting spherical vector spline interpolation theory, we show that a large class of regularizors for the modified Demons objective function can be efficiently approximated on the sphere using iterative smoothing. B...