Surface alignment of an elastic body using a multiresolution wavelet representation.
An algorithm for nonlinear registration of an elastic body is developed. Surfaces (outlines) of known anatomic structures are used to align all other (internal) points. The deformation field is represented with a multiresolution wavelet expansion and is modeled by the partial differential equations of linear elasticity. A hierarchical approach that reduces algorithm complexity is adopted. The performance of the algorithm is evaluated by two-dimensional alignment of sections from mouse brains located in the olfactory bulbs. The registration algorithm was guided by manually delineated contours of a subset of brain structures and validated based on another subset of brain structures. The wavelet alignment algorithm produced a twofold to fivefold improvement in accuracy over an affine (linear) alignment algorithm.
Gefen
Smadar
S
Computer Vision Laboratory for Vertebrate Brain Mapping, Department of Neurobiology and Anatomy, Drexel College of Medicine, Drexel University, Philadelphia, PA 19129-1096, USA.
Tretiak
Oleh
O
Bertrand
Louise
L
Rosen
Glenn D
GD
Nissanov
Jonathan
J
D000465:Algorithms; D019412:Anatomy, Cross-Sectional / Q000379:methods*; D000818:Animals; D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology; D004548:Elasticity; D007089:Image Enhancement / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D051379:Mice; D008810:Mice, Inbred C57BL; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique