A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents

@article{Chandrashekar2020ADL,
  title={A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents},
  author={Anirudh Chandrashekar and Ashok Handa and Natesh Shivakumar and Pierfrancesco Lapolla and Vicente Grau and Regent Lee},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.01223}
}
Contrast-enhanced computed tomography angiograms (CTAs) are widely used in cardiovascular imaging to obtain a non-invasive view of arterial structures. However, contrast agents are associated with complications at the injection site as well as renal toxicity leading to contrast-induced nephropathy (CIN) and renal failure. We hypothesised that the raw data acquired from a non-contrast CT contains sufficient information to differentiate blood and other soft tissue components. We utilised deep… 

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