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Frontier and Future Development of Information Technology in Medicine and Education pp 1395–1400Cite as

Ultrasound Image Segmentation Using Graph Cuts with Deformable Prior

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 269))

Abstract

Graph cuts for medical image segmentation with graph cuts without prior information is difficult, especial for ultrasound image segmentation. This paper presents a graph cuts algorithm with deformable priors, which can successfully seize clinical ultrasound image features. The experiment shows the success of the proposed approach.

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Author information

Authors and Affiliations

  1. University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 611731, Sichuan, People’s Republic of China

    Lin Li, Yue Wu & Mao Ye

  2. Sichuan TOP IT Vocational Institute, Chengdu, 611743, China

    Lin Li

Authors
  1. Lin Li
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  2. Yue Wu
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  3. Mao Ye
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Corresponding author

Correspondence to Lin Li .

Editor information

Editors and Affiliations

  1. Cognitive Science, Xiamen University, Xiamen, People's Republic of China

    Shaozi Li

  2. Human Informatics and Cognitive Sciences, Waseda University Networked Information Systems Lab, Waseda, Japan

    Qun Jin

  3. School of Systems Information Science, Future University Hakodate, Hakodate, Hokkaido, Japan

    Xiaohong Jiang

  4. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

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© 2014 Springer Science+Business Media Dordrecht

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Cite this paper

Li, L., Wu, Y., Ye, M. (2014). Ultrasound Image Segmentation Using Graph Cuts with Deformable Prior. In: Li, S., Jin, Q., Jiang, X., Park, J. (eds) Frontier and Future Development of Information Technology in Medicine and Education. Lecture Notes in Electrical Engineering, vol 269. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7618-0_150

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  • DOI: https://doi.org/10.1007/978-94-007-7618-0_150

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7617-3

  • Online ISBN: 978-94-007-7618-0

  • eBook Packages: EngineeringEngineering (R0)

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