Estimation of patient's angle from skull radiographs using deep learning.

Journal: Journal of X-ray science and technology
PMID: 35848005

Abstract

BACKGROUND: Skull radiography, an assessment method for initial diagnosis and post-operative follow-up, requires substantial retaking of various types of radiographs. During retaking, a radiologic technologist estimates a patient's rotation angle from the radiograph by comprehending the relationship between the radiograph and the patient's angle for adequate assessment, which requires extensive experience.

Authors

  • Kazuma Nakazeko
    Department of Radiological Technology, Faculty of Health Science, Juntendo University, Yushima, Bunkyo-Ku, Tokyo, Japan.
  • Shinya Kojima
    Department of Medical Radiology, Faculty of Medical Technology, Teikyo University, Kaga, Itabashi-Ku, Tokyo, Japan.
  • Hiroyuki Watanabe
    Graduate School of Health Sciences, Showa University, Tookaichibacho, Midori-ku, Yokohama, Kanagawa, Japan.
  • Hiroyuki Kudo
    Graduate School of Systems and Information Engineering, University of Tsukuba, Tennodai, Tsukuba, Ibaraki, Japan.

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