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Simple Atlas Selection Strategies for Liver Segmentation in CT Images

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Information Technologies in Medicine (ITiB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 471))

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Abstract

The paper present two atlas selection strategies: segmentation with a fixed, single individual atlas and segmentation with the best atlas for liver CT images. These two strategies was implemented and results were compared using DICE similarity coefficient, mean surface and Hausdorff distance. The average mean surface distance for single individual atlas equals 3.49 and 3.08 mm for Sum of Squared Differences and Mutual Information respectively. Average Hausdorff distance for the similarity measures mentioned above, which measure outliers, equal to 6.02 and 4.65 mm. The average DICE similarity coefficient are 0.49 and 0.59. The better results were obtained for Mutual Information similarity measure.

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Acknowledgments

The study was supported by National Science Center, Poland, Grant No. UMO-2012/05/B/ST7/02136.

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Authors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, Zabrze, Poland

    Dominik Spinczyk & Agata KrasoĊ„

Authors
  1. Dominik Spinczyk
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  2. Agata KrasoĊ„
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Corresponding author

Correspondence to Dominik Spinczyk .

Editor information

Editors and Affiliations

  1. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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Spinczyk, D., KrasoĊ„, A. (2016). Simple Atlas Selection Strategies for Liver Segmentation in CT Images. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_12

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  • DOI: https://doi.org/10.1007/978-3-319-39796-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39795-5

  • Online ISBN: 978-3-319-39796-2

  • eBook Packages: EngineeringEngineering (R0)

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