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Validating the Automatic Independent Component Analysis of DSA.

Jia-Sheng HongY-H KaoFeng-Chi ChangChung-Jung Lin
Published in: AJNR. American journal of neuroradiology (2019)
Time-density curve analysis of DSA provides useful blood flow information. However, manually selecting the ROI is time-consuming. We developed an automatic technique to provide arterial, capillary, and venous vasculatures with corresponding time-density curves. This study retrospectively analyzed the data of 36 patients with unilateral carotid stenosis. We found that the full width at half maximum of the time-density curve for the automatically segmented capillary vasculature is a suitable representation of the cerebral circulation time.
Keyphrases
  • blood flow
  • deep learning
  • machine learning
  • neural network
  • electronic health record
  • subarachnoid hemorrhage
  • big data
  • artificial intelligence