Grid powered nonlinear image registration with locally adaptive regularization

• Published in: Medical image analysis Vol. 8; no. 3; pp. 325 - 342
• Main Authors: Stefanescu, Radu, Pennec, Xavier, Ayache, Nicholas
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.09.2004; Elsevier
• Subjects: Adaptive regularization; Algorithms; Bioengineering; Brain - anatomy & histology; Brain atlas; Brain Mapping - methods; Computer Graphics; Computer Science; Engineering Sciences; Grid computing; Humans; Image Processing, Computer-Assisted - methods; Image registration; Imaging; Life Sciences; Magnetic Resonance Imaging; Medical Imaging; Modeling and Simulation; Multi-subject image fusion; Non-rigid transformation; Nonlinear diffusion; Parallel computing; Signal and Image processing; Image registration; Parallel computing; Multi-subject image fusion; Adaptive regularization; Brain atlas; Grid computing; Non-rigid transformation; Nonlinear diffusion; adaptive regularization; non-rigid registration; parallel; grid

Multi-subject non-rigid registration algorithms using dense deformation fields often encounter cases where the transformation to be estimated has a large spatial variability. In these cases, linear stationary regularization methods are not sufficient. In this paper, we present an algorithm that uses...