A new surface interpolation technique for reconstructing 3D objects from serial corss-sections
Computer Vision, Graphics, and Image Processing
Wavelets: a tutorial in theory and applications
Ten lectures on wavelets
Multirate systems and filter banks
Multirate systems and filter banks
Fast Visualization, Manipulation, and Analysis of Binary Volumetric Objects
IEEE Computer Graphics and Applications
Darboux Frames, Snakes, and Super-Quadrics: Geometry from the Bottom Up
IEEE Transactions on Pattern Analysis and Machine Intelligence
Conversion of complex contour line definitions into polygonal element mosaics
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
3D image reconstruction of bladder by nonlinear interpolation
Mathematical and Computer Modelling: An International Journal
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It is well known that the 3-D shape of an organ can be reconstructed from a series of cross-sectional images of human body using ultrasound, Computer Topography (CT), or Magnetic Resonance Imaging (MRI). From the reconstructed images, qualitative evaluation, quantitative analysis, and other further clinical research become possible. In this paper, a novel interpolation technique that utilizes the whole object contour information and with no need of feature matching for object reconstruction is proposed. In the method, multiresolution analysis of the object contour of each slices is carried out by using the Wavelet Transformation (WT). The primary contour of the interslices is reconstructed from the coarsest scale information of the slices, while the refined contours are estimated by taking into account the lower scale information of slices. To evaluate the performance of the proposed method and the traditional method, a performance measure is proposed and the experimental results are also included.