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Brain Morphometry pp 13–34Cite as

Convolutional Neural Networks for Rapid and Simultaneous Brain Extraction and Tissue Segmentation

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Part of the book series: Neuromethods ((NM,volume 136))

Abstract

Convolutional neural networks are poised to become a standard technology in neuroimage analysis. This general purpose framework learns both low-level and high-level features directly from images, making them ideal for image segmentation. To highlight the potential of these tools, we present a novel convolutional-deconvolutional network architecture designed for efficient three-dimensional, supervised brain segmentation. We detail the problem definition, network design, evaluation and interpretation underlying this effort. We also provide evidence that such networks can achieve accuracy in a matter of seconds that rivals what traditional methods may take over an hour to compute.

Dr. Avants recently became a Biogen employee.

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Acknowledgments

This work was supported by K01 ES025432-01.

Author information

Authors and Affiliations

  1. Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

    Nicholas C. Cullen

  2. Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA

    Nicholas C. Cullen

  3. Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA

    Brian B. Avants

Authors
  1. Nicholas C. Cullen
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  2. Brian B. Avants
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Corresponding author

Correspondence to Nicholas C. Cullen .

Editor information

Editors and Affiliations

  1. IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy

    Gianfranco Spalletta

  2. Division of Neuropsychiatry Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA

    Fabrizio Piras

  3. IMT School for Advanced Studies–Lucca, Lucca, Italy

    Tommaso Gili

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Cullen, N.C., Avants, B.B. (2018). Convolutional Neural Networks for Rapid and Simultaneous Brain Extraction and Tissue Segmentation. In: Spalletta, G., Piras, F., Gili, T. (eds) Brain Morphometry. Neuromethods, vol 136. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7647-8_2

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  • DOI: https://doi.org/10.1007/978-1-4939-7647-8_2

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7645-4

  • Online ISBN: 978-1-4939-7647-8

  • eBook Packages: Springer Protocols

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