Computer Vision and Image Understanding
Rapid surface registration of 3D volumes using a neural network approach
Image and Vision Computing
Robust and accurate curvature estimation using adaptive line integrals
EURASIP Journal on Advances in Signal Processing
Segmentation of juxtapleural pulmonary nodules using a robust surface estimate
Journal of Biomedical Imaging
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Curvature-based surface features are well suited for use in multimodal medical image registration. The accuracy of such feature-based registration techniques is dependent upon the reliability of the feature computation. The computation of curvature features requires second derivative information that is best obtained from a parametric surface representation. We present a method of explicitly parameterizing surfaces from volumetric data. Surfaces are extracted, without a global thresholding, using active contour models. A monge´ basis for each surface patch is estimated and used to transform the patch into local, or parametric, coordinates. Surface patches are fit to a bicubic polynomial in local coordinates using least squares solved by singular value decomposition. We tested our method by reconstructing surfaces from the surface model and analytically computing Gaussian and mean curvatures. The model was tested on analytical and medical data.