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Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models

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  • Mohammad Haft-Javaherian
  • Linjing Fang
  • Victorine Muse
  • Chris B Schaffer
  • Nozomi Nishimura
  • Mert R Sabuncu

Abstract

The health and function of tissue rely on its vasculature network to provide reliable blood perfusion. Volumetric imaging approaches, such as multiphoton microscopy, are able to generate detailed 3D images of blood vessels that could contribute to our understanding of the role of vascular structure in normal physiology and in disease mechanisms. The segmentation of vessels, a core image analysis problem, is a bottleneck that has prevented the systematic comparison of 3D vascular architecture across experimental populations. We explored the use of convolutional neural networks to segment 3D vessels within volumetric in vivo images acquired by multiphoton microscopy. We evaluated different network architectures and machine learning techniques in the context of this segmentation problem. We show that our optimized convolutional neural network architecture with a customized loss function, which we call DeepVess, yielded a segmentation accuracy that was better than state-of-the-art methods, while also being orders of magnitude faster than the manual annotation. To explore the effects of aging and Alzheimer’s disease on capillaries, we applied DeepVess to 3D images of cortical blood vessels in young and old mouse models of Alzheimer’s disease and wild type littermates. We found little difference in the distribution of capillary diameter or tortuosity between these groups, but did note a decrease in the number of longer capillary segments (>75μm) in aged animals as compared to young, in both wild type and Alzheimer’s disease mouse models.

Suggested Citation

  • Mohammad Haft-Javaherian & Linjing Fang & Victorine Muse & Chris B Schaffer & Nozomi Nishimura & Mert R Sabuncu, 2019. "Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-21, March.
  • Handle: RePEc:plo:pone00:0213539
    DOI: 10.1371/journal.pone.0213539
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    References listed on IDEAS

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    1. Catherine N. Hall & Clare Reynell & Bodil Gesslein & Nicola B. Hamilton & Anusha Mishra & Brad A. Sutherland & Fergus M. O’Farrell & Alastair M. Buchan & Martin Lauritzen & David Attwell, 2014. "Capillary pericytes regulate cerebral blood flow in health and disease," Nature, Nature, vol. 508(7494), pages 55-60, April.
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    1. Konrad W. Walek & Sabina Stefan & Jang-Hoon Lee & Pooja Puttigampala & Anna H. Kim & Seong Wook Park & Paul J. Marchand & Frederic Lesage & Tao Liu & Yu-Wen Alvin Huang & David A. Boas & Christopher M, 2023. "Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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