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An Automatic Estimation of Arterial Input Function Based on Multi-Stream 3D CNN

  • Published:2019-07-05 Issue: Volume:13 Page:
  • ISSN:1662-5196
  • Container-title:Frontiers in Neuroinformatics
  • language:
  • Short-container-title:Front. Neuroinform.

Author:

Fan Shengyu,Bian Yueyan,Wang Erling,Kang Yan,Wang Danny J. J.,Yang Qi,Ji Xunming

Publisher

Frontiers Media SA

Subject

Computer Science Applications,Biomedical Engineering,Neuroscience (miscellaneous)

Reference29 articles.

1. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging.;Albers;N. E. J. Med.,2018

2. Defining a local input function for perfusion quantification with bolus contrast MRI;Alsop;Proceedings of the 10th Annual Meeting of ISMRM,2002

3. A fully automated method for quantitative cerebral hemodynamic analysis using DSC–MRI.;Bjørnerud;J. Cereb. Blood Flow Metab.,2010

4. New criterion to aid manual and automatic selection of the arterial input function in dynamic susceptibility contrast MRI.;Bleeker;Magn. Reson. Med.,2011

5. Defining a local arterial input function for perfusion MRI using independent component analysis.;Calamante;Mag. Reson. Med.,2004
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