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International Symposium on Visual Computing

ISVC 2016: Advances in Visual Computing pp 659–668Cite as

Vessel Detection on Cerebral Angiograms Using Convolutional Neural Networks

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10072))

Abstract

Blood-vessel segmentation in cerebral angiograms is a valuable tool for medical diagnosis. However, manual blood-vessel segmentation is a time consuming process that requires high levels of expertise. The automatic detection of blood vessels can not only improve efficiency but also allow for the development of automatic diagnosis systems. Vessel detection can be approached as a binary classification problem, identifying each pixel as a vessel or non-vessel. In this paper, we use deep convolutional neural networks (CNNs) for vessel segmentation. The network is tested on a cerebral angiogram dataset. The results show the effectiveness of deep learning approach resulting in an accuracy of 95%.

Yang Fu and Jiawen Fang contributed equally to this paper.

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Acknowledgments

Prof. Scalzo was partially supported by a AHA grant 16BGIA27760152, a Spitzer grant, and received hardware donations from Gigabyte, Nvidia, and Intel.

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Authors and Affiliations

  1. Neurovascular Imaging Research Core, Department of Neurology and Computer Science, University of California, Los Angeles (UCLA), Los Angeles, USA

    Yang Fu, Jiawen Fang, Benjamin Quachtran, Natia Chachkhiani & Fabien Scalzo

Authors
  1. Yang Fu
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  2. Jiawen Fang
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  3. Benjamin Quachtran
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  4. Natia Chachkhiani
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  5. Fabien Scalzo
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Corresponding author

Correspondence to Fabien Scalzo .

Editor information

Editors and Affiliations

  1. University of Nevada , Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center , Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory , Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute , Reno, Nevada, USA

    Darko Koracin

  5. The Australian National University , O'Malley, Aust Capital Terr, Australia

    Fatih Porikli

  6. Pilot AI Labs , Redwood City, California, USA

    Sandra Skaff

  7. University of Florida , Gainesville, Florida, USA

    Alireza Entezari

  8. Google Inc. , Mountain View, California, USA

    Jianyuan Min

  9. Osaka University , Osaka, Japan

    Daisuke Iwai

  10. The MOVES Institute , Monterey, California, USA

    Amela Sadagic

  11. University of Arizona , Tucson, Arizona, USA

    Carlos Scheidegger

  12. Université Paris-Sud , Orsay, France

    Tobias Isenberg

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Cite this paper

Fu, Y., Fang, J., Quachtran, B., Chachkhiani, N., Scalzo, F. (2016). Vessel Detection on Cerebral Angiograms Using Convolutional Neural Networks. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science(), vol 10072. Springer, Cham. https://doi.org/10.1007/978-3-319-50835-1_59

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  • DOI: https://doi.org/10.1007/978-3-319-50835-1_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50834-4

  • Online ISBN: 978-3-319-50835-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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