A myocardial extraction method using deep learning for 99mTc myocardial perfusion SPECT images: A basic study to reduce the effects of extra-myocardial activity.

Journal: Computers in biology and medicine
PMID: 34971980

Abstract

AIM: The purpose of this study was to automatically extract myocardial regions from transaxial single-photon emission computed tomography (SPECT) images using deep learning to reduce the effects of extracardiac activity, which has been problematic in cardiac nuclear imaging.

Authors

  • Akihiro Kikuchi
    Department of Radiological Technology, Faculty of Health Sciences, Hokkaido University of Science, Japan. Electronic address: kikuchi-a@hus.ac.jp.
  • Naofumi Wada
    Department of Information and Computer Science, Faculty of Engineering, Hokkaido University of Science, Japan.
  • Takashi Kawakami
    Department of Information and Computer Science, Faculty of Engineering, Hokkaido University of Science, Japan.
  • Kenichi Nakajima
    Department of Nuclear Medicine, Kanazawa University Hospital.
  • Hiroto Yoneyama
    Department of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan.

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