《2 Nonrigid registration of brain MRI using NURBS》.pdf

Pattern Recognition Letters 28 (2007) 214–223 /locate/patrec Nonrigid registration of brain MRI using NURBS Jianzhe Wang, Tianzi Jiang * National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhong Guan Cun East Road, Beijing 100080, PR China Received 11 January 2005; received in revised form 21 September 2005 Available online 1 September 2006 Communicated by C.-F. Westin Abstract The focus of medical image registration has shifted to nonrigid registration. It is also a core component in computational neuroanat- omy. In this paper, we propose an efficient registration framework which has feature of multiresolution and multigrid. In contrast to the existing registration algorithms. Free-Form Deformations based NURBS (Nonuniform Rational B Spline) are used to acquire nonrigid transformation. This can provide a competitive alternative to Free-Form Deformations based B spline on flexibility and accuracy. To our knowledge, it is the first report of the use of this mathematical tool for medical image registration. Subdivision of NURBS is extended to 3D and is used in hierarchical optimization to speed up the registration and avoid local minima. The performance of this method is numerically evaluated on simulated images and real images. Compared with the registration method using uniform Free-Form Defor- mations based B spline, our method can successfully register images with improved performance. 2006 Elsevier B.V. All rights reserved. Keywo