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BioMed Research International
Volume 2017, Article ID 5380742, 11 pages
https://doi.org/10.1155/2017/5380742
Research Article

A Registration Method Based on Contour Point Cloud for 3D Whole-Body PET and CT Images

1Software College, Northeastern University, Shenyang 110819, China
2Department of Nuclear Medicine, General Hospital of Shenyang Military Area Command, Shenyang 110840, China

Correspondence should be addressed to Huiyan Jiang; nc.ude.uen.liam@gnaijyh

Received 21 August 2016; Revised 2 December 2016; Accepted 1 February 2017; Published 21 February 2017

Academic Editor: Gang Liu

Copyright © 2017 Zhiying Song et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Zhiying Song, Huiyan Jiang, and Siqi Li, “A Novel Fusion Framework Based on Adaptive PCNN in NSCT Domain for Whole-Body PET and CT Images,” Computational and Mathematical Methods in Medicine, vol. 2017, pp. 1–9, 2017. View at Publisher · View at Google Scholar