Title: Hybrid deformable image registration using a closed-form Free Form Deformation approach

Authors: Xiaolei Huang; Hongsheng Li; Yaoyao Zhu

Addresses: Department of Computer Science and Engineering, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA. ' Department of Computer Science and Engineering, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA. ' Department of Computer Science and Engineering, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA

Abstract: This paper describes an efficient non-rigid image registration method using a B-spline based Free Form Deformation (FFD) model. The proposed method is very efficient, in that it utilises sparse feature correspondences to estimate an elastic deformation field in a closed form. In a multi-resolution manner, the method is able to recover small to large nonrigid deformations, and the resulting deformation field is globally smooth and guarantees one-to-one mapping between the two registered images.

Keywords: non-rigid image registration; deformable image registration; FFDs; free form deformations; salient region; PSO; particle swarm optimisation; intensity modulated radiation therapy; IMRT; prostate cancer; image-guided radiation therapy; IGRT; medical imaging; radiotherapy treatment.

DOI: 10.1504/IJBET.2012.046089

International Journal of Biomedical Engineering and Technology, 2012 Vol.8 No.2/3, pp.245 - 258

Available online: 18 Mar 2012 *

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