Automated surface interpolation technique for 3-D object reconstruction from serial cross sections

Shiuh Yung Chen, Wei Chung Lin*, Chin Tu Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

A method for automatically reconstructing a three-dimensional object from serial cross-sections is presented in this paper. The method combines the techniques of dynamic elastic contour interpolation, spline theory, and quadratic-variation-based surface interpolation. In the proposed method, the initial description of the object is formed by applying the elastic interpolation algorithm to generate a series of intermediate contours between each pair of consecutive cross-sections. After this, a preliminary processing for surface computation is carried out by mapping the contours into the domain of surface function and then using spline functions to calculate the initial surface values. Based on the output from the preliminary processing, we apply the quadratic-variation-based surface interpolation algorithm to calculate the final surface representation. Since our method takes the continuity of high order derivatives into consideration, the smooth and complete surface of a 3-D object can thus be reconstructed.

Original languageEnglish (US)
Pages (from-to)265-276
Number of pages12
JournalComputerized Medical Imaging and Graphics
Volume15
Issue number4
DOIs
StatePublished - Jan 1 1991

Keywords

  • Contour extraction
  • Cross-sectional image
  • Elastic interpolation
  • Magnetic resonance imaging (MRI)
  • Object reconstruction
  • Positron emission tomography (PET)
  • Quadratic-variation-based interpolation

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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