An automatic surface extraction for volume visualization

Yu Ma, Yanning Zhang, Xiyuan Wang, Rui Yao, Zhenxing Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

This paper describes a novel automatic 3D surface extraction method for biomedical volume images. In this technique, the region of interesting (ROI) in 2D slice images is selected interactively, 3D ROI edge surface is determined by using Laplace operator based tracking method. According to coplanar principle of the voxel, the edge surface in ROI is then automatically extracted by region growing approach. Finally, the 3D edge surface of high accuracy (sub-voxel) is formed by reconstruction of the edge surface selected in 2D ROI. Experiments on biomedical images show that the new method is successful in interactive selection and automatic extraction of edge surfaces in 3D images.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011
Pages387-390
Number of pages4
DOIs
StatePublished - 2011
Event3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 - Shanghai, China
Duration: 6 Jan 20117 Jan 2011

Publication series

NameProceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011
Volume1

Conference

Conference3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011
Country/TerritoryChina
CityShanghai
Period6/01/117/01/11

Keywords

  • 3D region growing
  • 3D-edge surface tracking
  • Automatic extraction
  • Interactive selection
  • Laplace
  • Region of interesting

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