NDLI: Automatic Segmentation and 3D Reconstruction of Human Liver Based on CT Image

Content Provider	IEEE Xplore Digital Library
Author	Haiming Ai Chunlan Yang Shuicai Wu Yi Zeng Song Bo
Copyright Year	2010
Abstract	3D shape reconstruction of the liver from its 2D cross-sections improves the surgeon's knowledge of liver anatomy and makes even more complicated liver surgery safe, which can be employed to aid clinical practice as an alternative tool. In this paper, a new method for 3D reconstruction of liver is proposed. It mainly consists of three steps: liver auto-segmentation, surface reconstruction and surface rendering. Firstly, an effective automatic segmentation method based on graph-theory is proposed for extracting liver. Then, NMC algorithm based on a combination of MC and Cuberille algorithms is applied to accomplish surface reconstruction of liver. Finally, surface rendering of liver is implemented by 3D graphics library OpenGL. The method mentioned above is being tested on numerous experiments of 3D reconstruction of liver and results are promising.
Starting Page	1
Ending Page	4
File Size	501511
Page Count	4
File Format	PDF
ISBN	9781424447121
ISSN	21517622
DOI	10.1109/ICBBE.2010.5517758
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Surface reconstruction Shape Computed tomography Humans Liver Rendering (computer graphics) Anatomy Surges Image reconstruction
Content Type	Text
Resource Type	Article

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