Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke.

Journal: International journal of computer assisted radiology and surgery
Published Date: Sep 3, 2019

Abstract

PURPOSE: Acute ischemic stroke is one of the primary causes of death worldwide. Recent studies have shown that the assessment of collateral status could aid in improving the treatment for patients with acute ischemic stroke. We present a 3D deep regression neural network to automatically generate the collateral images from dynamic susceptibility contrast-enhanced magnetic resonance perfusion (DSC-MRP) in acute ischemic stroke.

Authors

  • Minh Nguyen Nhat To
    Department of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea.
  • Hyun Jeong Kim
    Department of Dental Anesthesiology, Seoul National University Dental Hospital, Seoul, Korea.
  • Hong Gee Roh
    Konkuk University Medical Center, Seoul, 05029, South Korea.
  • Yoon-Sik Cho
    Department of Data Science, Sejong University, Seoul, 05006, South Korea.
  • Jin Tae Kwak
    Center for Interventional Oncology, National Institutes of Health, Bethesda, MD, 20892, USA.

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