Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans

@article{Hussein2017AutomaticSA,
  title={Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans},
  author={S. Hussein and Aileen Green and Arjun Watane and David Reiter and X. Chen and G. Papadakis and B. Wood and A. Cypess and M. Osman and U. Bagci},
  journal={IEEE Transactions on Medical Imaging},
  year={2017},
  volume={36},
  pages={734-744}
}
  • S. Hussein, Aileen Green, +7 authors U. Bagci
  • Published 2017
  • Computer Science, Medicine
  • IEEE Transactions on Medical Imaging
  • In this paper, we investigate the automatic detection of white and brown adipose tissues using Positron Emission Tomography/Computed Tomography (PET/CT) scans, and develop methods for the quantification of these tissues at the whole-body and body-region levels. We propose a patient-specific automatic adiposity analysis system with two modules. In the first module, we detect white adipose tissue (WAT) and its two sub-types from CT scans: Visceral Adipose Tissue (VAT) and Subcutaneous Adipose… CONTINUE READING
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    References

    SHOWING 1-10 OF 56 REFERENCES
    A method for the automatic segmentation of brown adipose tissue
    • 14
    Automated segmentation of muscle and adipose tissue on CT images for human body composition analysis
    • 53
    • PDF
    Automated Quantification of Body Fat Distribution on Volumetric Computed Tomography
    • 66
    • Highly Influential
    Automatic Segmentation of Abdominal Fat from CT Data
    • 27
    • PDF
    Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images
    • 134
    • PDF
    Automatic anatomy recognition in whole-body PET/CT images.
    • 18
    • PDF
    Body Fat Assessment Method Using CT Images with Separation Mask Algorithm
    • 30