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IT Convergence and Security 2012 pp 537–544Cite as

Automatic Segmentation of Region of Interests in MR Images Using Saliency Information and Active Contours

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 215))

Abstract

Magnetic resonance imaging (MRI) is the most clinically used and gifted modality to identify brain abnormalities in individuals who might be at risk for brain cancer. To date, automated brain tumor segmentation from MRI modalities remains a sensitive, computationally expensive, and a demanding task. This paper presents an automated and robust segmentation method to enable investigators to make successful diagnosis and planning of radiosurgery by reducing the risk factor and study duration. The proposed system consists of following steps: (1) remove the non-brain part from MRI, (2) estimate saliency map of MRI, (3) use the salient region (tumor) as an identification marker and segment the salient object by finding the “optimal” closed contour around the tumor. The system has been tested on real patient images with excellent results. The qualitative and quantitative evaluations by comparing with ground truths and with other existing approaches demonstrate the effectiveness of the proposed method.

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Acknowledgments

This research is supported by: (1) The Industrial Strategic technology development program, 10041772, (The Development of an Adaptive Mixed-Reality Space based on Interactive Architecture) funded by the MKE (Ministry of Knowledge Economy, Korea) and, (2) The Ministry of Knowledge Economy (MKE), Korea, under IT/SW Creative research program supervised by the National IT Industry Promotion Agency (NIPA)” (NIPA-2012-H0502-12-1013).

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Authors and Affiliations

  1. College of Electronics and Information Engineering, Sejong University, Seoul, Republic of Korea

    Irfan Mehmood & Sung Wook Baik

  2. College of Business, Honam University, Gwangju, Republic of Korea

    Ran Baik

Authors
  1. Irfan Mehmood
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  2. Ran Baik
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  3. Sung Wook Baik
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Corresponding author

Correspondence to Sung Wook Baik .

Editor information

Editors and Affiliations

  1. Convergence Security, Kyoung-gi University, Suwon, Gyeonggi-do, Korea, Republic of (South Korea)

    Kuinam J. Kim

  2. Dept. of Computer Information Engineerin, Sangji University, Wonju-si Gangwon-do, Korea, Republic of (South Korea)

    Kyung-Yong Chung

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© 2013 Springer Science+Business Media Dordrecht

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Mehmood, I., Baik, R., Baik, S.W. (2013). Automatic Segmentation of Region of Interests in MR Images Using Saliency Information and Active Contours. In: Kim, K., Chung, KY. (eds) IT Convergence and Security 2012. Lecture Notes in Electrical Engineering, vol 215. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5860-5_64

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  • DOI: https://doi.org/10.1007/978-94-007-5860-5_64

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5859-9

  • Online ISBN: 978-94-007-5860-5

  • eBook Packages: EngineeringEngineering (R0)

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