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Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification

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Image Analysis and Recognition (ICIAR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10317))

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Abstract

Lesions in brain white matter can cause significant functional deficits, and are often associated with neurological disease. The quantitative analysis of these lesions is typically performed manually by physicians on magnetic resonance images and represents a non-trivial, time-consuming and subjective task. The proposed method automatically segments white matter lesions using a probabilistic texture-based classification approach. It requires no parameters to be set, assumes nothing about lesion location, shape or size, and demonstrates better results (Dice coefficient of 0.84) when compared with other, similar published methods.

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Notes

  1. 1.

    www.isles-challenge.org/.

  2. 2.

    http://www.virtualskeleton.ch/ISLES/Start2015.

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Acknowledgments

The authors thank FAPESP, CAPES and CNPQ for their financial support.

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Authors and Affiliations

  1. Faculty of Electrical and Computer Engineering, University of Campinas, Campinas, SP, Brazil

    Mariana Bento, Yan Sym, Roberto Lotufo & Letícia Rittner

  2. Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada

    Richard Frayne

  3. Calgary Image Processing and Analysis Centre, Foothills Medical Centre, Calgary, AB, Canada

    Mariana Bento & Richard Frayne

  4. Seaman Family MR Research Centre, Foothills Medical Centre, Calgary, AB, Canada

    Richard Frayne

Authors
  1. Mariana Bento
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  2. Yan Sym
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  3. Richard Frayne
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  4. Roberto Lotufo
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  5. Letícia Rittner
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Corresponding author

Correspondence to Mariana Bento .

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Editors and Affiliations

  1. University of Waterloo, Waterloo, Ontario, Canada

    Fakhri Karray

  2. University of Porto, Porto, Portugal

    Aurélio Campilho

  3. Politechnique Montreal, Montreal, Québec, Canada

    Farida Cheriet

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Bento, M., Sym, Y., Frayne, R., Lotufo, R., Rittner, L. (2017). Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification. In: Karray, F., Campilho, A., Cheriet, F. (eds) Image Analysis and Recognition. ICIAR 2017. Lecture Notes in Computer Science(), vol 10317. Springer, Cham. https://doi.org/10.1007/978-3-319-59876-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-59876-5_9

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-59876-5

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