Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms.

Journal: Journal of neurointerventional surgery
Published Date:

Abstract

BACKGROUND: Angiographic parametric imaging (API) is an imaging method that uses digital subtraction angiography (DSA) to characterize contrast media dynamics throughout the vasculature. This requires manual placement of a region of interest over a lesion (eg, an aneurysm sac) by an operator.

Authors

  • Alexander R Podgorsak
    Department of Medical Physics, University at Buffalo, State University of New York, Buffalo, New York, USA.
  • Ryan A Rava
    Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, New York, USA.
  • Mohammad Mahdi Shiraz Bhurwani
    Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, New York, USA.
  • Anusha R Chandra
    Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, New York, USA.
  • Jason M Davies
    Philip R. Lee Institute for Health Policy Studies, School of Medicine, University of California, San Francisco.
  • Adnan H Siddiqui
    2Canon Stroke and Vascular Research Center, University at Buffalo, the State University of New York, Buffalo, New York.
  • Ciprian N Ionita
    Department of Medical Physics, University at Buffalo, State University of New York, Buffalo, New York, USA.