[Development of the DSA Method for Coronary Angiography Using Deep Learning Techniques].

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi
Published Date:

Abstract

PURPOSE: DSA processing is not applied to the coronary artery because heavy artifacts will be generated in DSA images by heart beats and breathing of the patient. However, DSA images of coronary artery contribute to the accuracy of diagnosis and elucidating new pathogenesis of coronary artery diseases. On the other hand, deep learning techniques have been improved and shown to have a high performance. The purpose of this study was to develop a DSA method available for coronary arteries using deep learning techniques.

Authors

  • Megumi Yamamoto
    Department of Clinical Radiology, Faculty of Health Science, Hiroshima International University.
  • Yasuhiko Okura
    Department of Clinical Radiology, Faculty of Health Science, Hiroshima International University.