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A Hybrid Method for Pancreas Extraction from CT Image Based on Level Set Methods
Joint Authors
Tan, Hanqing
Fujita, Hiroshi
Jiang, Huiyan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper proposes a novel semiautomatic method to extract the pancreas from abdominal CT images.
Traditional level set and region growing methods that request locating initial contour near the final boundary of object have problem of leakage to nearby tissues of pancreas region.
The proposed method consists of a customized fast-marching level set method which generates an optimal initial pancreas region to solve the problem that the level set method is sensitive to the initial contour location and a modified distance regularized level set method which extracts accurate pancreas.
The novelty in our method is the proper selection and combination of level set methods, furthermore an energy-decrement algorithm and an energy-tune algorithm are proposed to reduce the negative impact of bonding force caused by connected tissue whose intensity is similar with pancreas.
As a result, our method overcomes the shortages of oversegmentation at weak boundary and can accurately extract pancreas from CT images.
The proposed method is compared to other five state-of-the-art medical image segmentation methods based on a CT image dataset which contains abdominal images from 10 patients.
The evaluated results demonstrate that our method outperforms other methods by achieving higher accuracy and making less false segmentation in pancreas extraction.
American Psychological Association (APA)
Jiang, Huiyan& Tan, Hanqing& Fujita, Hiroshi. 2013. A Hybrid Method for Pancreas Extraction from CT Image Based on Level Set Methods. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-474823
Modern Language Association (MLA)
Jiang, Huiyan…[et al.]. A Hybrid Method for Pancreas Extraction from CT Image Based on Level Set Methods. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-474823
American Medical Association (AMA)
Jiang, Huiyan& Tan, Hanqing& Fujita, Hiroshi. A Hybrid Method for Pancreas Extraction from CT Image Based on Level Set Methods. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-474823
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474823