NDLI: 3D Liver Vessel Reconstruction from CT Images

Content Provider	IEEE Xplore Digital Library
Author	Xing-Chen Pan Hong-Ren Su Shang-Hong Lai Kai-Che Liu Hurng-Sheng Wu
Copyright Year	2014
Description	Author affiliation: Chang Bing Show Chwan Memorial Hosp., Asian Inst. of TeleSurgery, Taiwan (Kai-Che Liu; Hurng-Sheng Wu) \|\| Dept. of Inst. of Inf. Syst. & Applic., Nat. Tsing-Hua Univ., Hsinchu, Taiwan (Xing-Chen Pan; Hong-Ren Su; Shang-Hong Lai)
Abstract	We propose a novel framework for reconstructing 3D liver vessel model from CT images. The proposed algorithm consists of vessel detection, vessel tree reconstruction and vessel radius estimation. First, we employ the tubular-filter based approach to detect vessel structure and construct the minimum spanning tree to bridge all the gaps between vessels. Then, we propose an approach to estimate the radius of the vessel at all vessel centerline voxels based on the local patch descriptors. Using the proposed 3D vessel reconstruction system can provide detailed 3D liver vessel model very efficiently. Our experimental results demonstrate the accuracy of the proposed system for 3D liver vessel reconstruction from 3D CT images.
Starting Page	75
Ending Page	81
File Size	427847
Page Count	7
File Format	PDF
ISBN	9781479970001
DOI	10.1109/3DV.2014.96
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-08
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vessel radius estimation Image segmentation Three-dimensional displays Computed tomography Noise Liver Estimation Vessel reconstruction Image reconstruction
Content Type	Text
Resource Type	Article

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