NDLI: 3D automatic anatomy segmentation based on graph cut-oriented active appearance models

Content Provider	IEEE Xplore Digital Library
Author	Xinjian Chen Jianhua Yao Ying Zhuge Bagci, U.
Copyright Year	2010
Description	Author affiliation: Radiation Oncology Branch, National Cancer Institute, National Institute of Health, Bethesda, MD 20814, USA (Ying Zhuge) \|\| Radiology and Imaging Sciences Department, Clinical Center, National Institute of Health, Bethesda, MD 20814, USA (Xinjian Chen; Jianhua Yao) \|\| Collaborative Medical Image Analysis Group, School of Computer Science, The University of Nottingham, Jubilee Campus, NG8 1BB, UK (Bagci, U.)
Abstract	In this paper, we propose a novel 3D automatic anatomy segmentation method based on the synergistic combination of active appearance models (AAM), live wire (LW) and graph cut (GC). The proposed method consists of three main parts: model building, initialization and segmentation. For the model building part, an AAM model is constructed and the LW cost function is trained. For the initialization part, an improved iterative model refinement algorithm is proposed for the AAM optimization, which synergistically combines the AAM and LW method (OAAM). And a multi-object strategy is applied to help the object initialization. A pseudo 3D initialization strategy is employed to segment the organs slice by slice via multi-object OAAM method. The model constraints are applied to the initialization result. For the segmentation part, the object shape information generated from the initialization step is integrated into the GC cost computation. And an iterative GCOAAM method is proposed for object delineation. This method is a general method and can be applied to any organ segmentation. The proposed method was tested on the clinical liver and kidney CT data sets. The results showed the following: (a) an overall segmentation accuracy of true positive fraction>93.5%, and false positive fraction<0.2% can be achieved. (b) The initialization performance is improved by combining the AAM and LW. (c) The multi-object strategy greatly helps the initialization due to inter-object constraints.
Starting Page	3653
Ending Page	3656
File Size	455460
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5652101
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Active appearance model Image segmentation Kidney Liver Three dimensional displays Wire Graph Cut Object Segmentation Active Appearance Models Live Wire
Content Type	Text
Resource Type	Article

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