title: Bidirectional elastic image registration using B-spline affine transformation.
abstract: A registration scheme termed as B-spline affine transformation (BSAT) is presented in this study to elastically align two images. We define an affine transformation instead of the traditional translation at each control point. Mathematically, BSAT is a generalized form of the affine transformation and the traditional B-spline transformation (BST). In order to improve the performance of the iterative closest point (ICP) method in registering two homologous shapes but with large deformation, a bidirectional instead of the traditional unidirectional objective/cost function is proposed. In implementation, the objective function is formulated as a sparse linear equation problem, and a sub-division strategy is used to achieve a reasonable efficiency in registration. The performance of the developed scheme was assessed using both two-dimensional (2D) synthesized dataset and three-dimensional (3D) volumetric computed tomography (CT) data. Our experiments showed that the proposed B-spline affine model could obtain reasonable registration accuracy.
authors: Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, United States.
authors: Suicheng
authors: S
authors: Gu
authors: Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, United States.
authors: Xin
authors: X
authors: Meng
authors: Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States.
authors: Frank C
authors: FC
authors: Sciurba
authors: Department of Radiology, University of Xi'an Jiaotong University First Affiliated Hospital, Xi'an, Shaanxi, P.R. China.
authors: Hongxia
authors: H
authors: Ma
authors: Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, United States.
authors: Joseph
authors: J
authors: Leader
authors: Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States.
authors: Naftali
authors: N
authors: Kaminski
authors: Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, United States.
authors: David
authors: D
authors: Gur
authors: Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, United States. Electronic address: jip13@pitt.edu.
authors: Jiantao
authors: J
authors: Pu
mesh_terms: D000465:Algorithms; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D013902:Radiography, Thoracic / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Affine registration; B-spline registration; Iterative closest point; Sparse linear equations; Spline affine registration