NDLI: Abdominal wall extraction using constrained deformable model and abdominal context

Content Provider	IEEE Xplore Digital Library
Author	Weimin Huang Lijie Quan Zhiping Lin Yuping Duan Jiayin Zhou Yongzhong Yang Wei Xiong
Copyright Year	2014
Description	Author affiliation: Inst. for Infocomm Res., Singapore, Singapore (Weimin Huang; Yuping Duan; Jiayin Zhou; Wei Xiong) \|\| Sch. of EEE, Nanyang Technol. Univ., Singapore, Singapore (Lijie Quan; Zhiping Lin; Yongzhong Yang)
Abstract	Information about abdominal wall can be used for many applications from organ segmentation, registration, and surgical simulation. The challenges exist in abdominal wall extraction due to its varieties in shapes, connection to the internal organs and anterior layer edge formed between the muscle and fascia/fatty layer, which may distract the shape model. In this paper we present an approach to the posterior abdominal wall extraction using the shape model and other abdominal context, particularly with the rib-spine bone information and the wall image features. The shape model is constructed based on the training abdominal walls that are delineated manually. After bone information being extracted, the wall shape deforms from the prior shape model using the snake, which is constrained by the bone context and guided by the processed image energy map with the aim of removing distracted image features of anterior abdominal wall and the outer region from the original map. Meanwhile, an overall convex shape is maintained by limiting the angles of the contour points. The proposed approach is tested on abdominal CT data which provides encouraging results.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	4699
Ending Page	4702
File Size	857659
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944673
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bones Shape Computed tomography Image segmentation Deformable models Image edge detection Context
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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