Gated SPECT-Derived Myocardial Strain Estimated From Deep-Learning Image Translation Validated From N-13 Ammonia PET.

Journal: Academic radiology
PMID:

Abstract

RATIONALE AND OBJECTIVES: This study investigated the use of deep learning-generated virtual positron emission tomography (PET)-like gated single-photon emission tomography (SPECT) for assessing myocardial strain, overcoming limitations of conventional SPECT.

Authors

  • Masateru Kawakubo
    Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka-shi, Fukuoka, 812-8582, Japan. kawakubo.masateru.968@m.kyushu-u.ac.jp.
  • Michinobu Nagao
    Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan.
  • Atsushi Yamamoto
    Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-Ku, Tokyo, 162-8666, Japan.
  • Yoko Kaimoto
    Department of Radiology, Tokyo Women's Medical University, Tokyo, Japan.
  • Risako Nakao
    Department of Cardiology, Tokyo Women's Medical University, Tokyo, Japan.
  • Hiroshi Kawasaki
    Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan.
  • Takafumi Iwaguchi
    Department of Advanced Information Technology, Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan.
  • Akihiro Inoue
    Department of Diagnostic Imaging & Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan.
  • Koichiro Kaneko
    Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-Ku, Tokyo, 162-8666, Japan.
  • Akiko Sakai
    Department of Cardiology, Tokyo Women's Medical University, Tokyo, Japan.
  • Shuji Sakai
    Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-Ku, Tokyo, 162-8666, Japan.