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Automatic Ultrasound Image Segmentation Framework Based on Darwinian Particle Swarm Optimization

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Book cover Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 1))

Abstract

Accurate medical diagnosis and treatment necessitate the application of optimal segmentation of images. Although manual segmentation is easy, it has many problems such as time complexity and error sensitivity. On the other hand, automatic segmentation is fast with less probability of errors. However, it has many problems like low contrast image, unclear boundaries and less accurate. To overcome these problems, optimization methods like Particle Swarm Optimization (PSO), genetic algorithm (GA), etc. can provide more accurate and efficient outcomes. Thus, for the achievement of optimized results, the current study proposes a more optimized ‘Singh-Elamvazuthi’ ultrasound segmentation framework based on Darwinian Particle Swarm Optimization (D-PSO) for ankle Anterior Talofibular Ligament.

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Author information

Authors and Affiliations

  1. Centre for Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 31750, Tronoh, Perak Darul Ridzuan, Malaysia

    Vedpal Singh, Irraivan Elamvazuthi & Varun Jeoti

  2. Research Imaging Centre, University of Malaya, Kuala Lumpur, Malaysia

    John George

Authors
  1. Vedpal Singh
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  2. Irraivan Elamvazuthi
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  3. Varun Jeoti
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  4. John George
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Corresponding author

Correspondence to Vedpal Singh .

Editor information

Editors and Affiliations

  1. Department of Infomatics, Kindai University, Faculty of Science and Technology, Higashi-Osaka, Japan

    Hisashi Handa

  2. Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka, Japan

    Hisao Ishibuchi

  3. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Yew-Soon Ong

  4. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    Kay Chen Tan

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© 2015 Springer International Publishing Switzerland

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Singh, V., Elamvazuthi, I., Jeoti, V., George, J. (2015). Automatic Ultrasound Image Segmentation Framework Based on Darwinian Particle Swarm Optimization. In: Handa, H., Ishibuchi, H., Ong, YS., Tan, K. (eds) Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1. Proceedings in Adaptation, Learning and Optimization, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-13359-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-13359-1_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13358-4

  • Online ISBN: 978-3-319-13359-1

  • eBook Packages: EngineeringEngineering (R0)

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