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Image reconstruction by domain-transform manifold learning

Author

Listed:
  • Bo Zhu

    (A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
    Harvard Medical School
    Harvard University)

  • Jeremiah Z. Liu

    (Harvard University)

  • Stephen F. Cauley

    (A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
    Harvard Medical School)

  • Bruce R. Rosen

    (A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
    Harvard Medical School)

  • Matthew S. Rosen

    (A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
    Harvard Medical School
    Harvard University)

Abstract

Image reconstruction is reformulated using a data-driven, supervised machine learning framework that allows a mapping between sensor and image domains to emerge from even noisy and undersampled data, improving accuracy and reducing image artefacts.

Suggested Citation

  • Bo Zhu & Jeremiah Z. Liu & Stephen F. Cauley & Bruce R. Rosen & Matthew S. Rosen, 2018. "Image reconstruction by domain-transform manifold learning," Nature, Nature, vol. 555(7697), pages 487-492, March.
    • Handle: RePEc:nat:nature:v:555:y:2018:i:7697:d:10.1038_nature25988
    DOI: 10.1038/nature25988
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    Cited by:

    1. Yilong Liu & Alex T. L. Leong & Yujiao Zhao & Linfang Xiao & Henry K. F. Mak & Anderson Chun On Tsang & Gary K. K. Lau & Gilberto K. K. Leung & Ed X. Wu, 2021. "A low-cost and shielding-free ultra-low-field brain MRI scanner," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    2. Md Tauhidul Islam & Lei Xing, 2023. "Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    3. Md Tauhidul Islam & Zixia Zhou & Hongyi Ren & Masoud Badiei Khuzani & Daniel Kapp & James Zou & Lu Tian & Joseph C. Liao & Lei Xing, 2023. "Revealing hidden patterns in deep neural network feature space continuum via manifold learning," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    4. Zhao He & Ya-Nan Zhu & Yu Chen & Yi Chen & Yuchen He & Yuhao Sun & Tao Wang & Chengcheng Zhang & Bomin Sun & Fuhua Yan & Xiaoqun Zhang & Qing-Fang Sun & Guang-Zhong Yang & Yuan Feng, 2023. "A deep unrolled neural network for real-time MRI-guided brain intervention," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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