A novel reconstruction method of 3d heart geometry atlas based on visible human

Gongning Luo, Kuanquan Wang, Pengbo Bo, Yong Xia, Henggui Zhang

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

Abstract

Heart atlas reconstruction plays an important role in the personalized disease diagnosis, modeling and simulation. In this paper, we proposed a flexible framework of heart atlas reconstruction, which consists of vectorization of labeled heart dataset and mesh reconstruction based on contour lines. The proposed framework is the combination of some traditional methods, the contribution of this paper is that performance is good through combining the various methods. We evaluated the proposed method on the visible human cardiac datasets. The experiment results manifest that the reconstructed atlas is high-efficiency and accurate.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017
PublisherIEEE
Pages133-138
Number of pages6
ISBN (Electronic)9781538626368
DOIs
Publication statusPublished - 2 Jul 2017
Event7th International Conference on Virtual Reality and Visualization - Zhengzhou, China
Duration: 21 Oct 201722 Oct 2017

Publication series

NameProceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017

Conference

Conference7th International Conference on Virtual Reality and Visualization
Abbreviated titleICVRV 2017
Country/TerritoryChina
CityZhengzhou
Period21/10/1722/10/17

Keywords

  • Atlas
  • Heart
  • Reconstruction
  • Vectorization
  • Visible human

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