• Corpus ID: 238253104

Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis

@article{Zabihi2021QNetAQ,
  title={Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis},
  author={Soheil Zabihi and Elahe Rahimian and Soumya Sharma and Sean K. Sethi and Sara Gharabaghi and A. Asif and Ewart Mark Haacke and Mandar S. Jog and Arash Mohammadi},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.00203}
}
Brain iron deposition, in particular deep gray matter nuclei, increases with advancing age. Hereditary Hemochromatosis (HH) is the most common inherited disorder of systemic iron excess in Europeans and recent studies claimed high brain iron accumulation in patient with Hemochromatosis. In this study, we focus on Artificial Intelligence (AI)-based differential diagnosis of brain iron deposition in HH via Quantitative Susceptibility Mapping (QSM), which is an established Magnetic Resonance… 
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