A myocardial reorientation method based on feature point detection for quantitative analysis of PET myocardial perfusion imaging.

Journal: Computer methods and programs in biomedicine
Published Date: Aug 1, 2025

Abstract

OBJECTIVE: Reorienting cardiac positron emission tomography (PET) images to the transaxial plane is essential for cardiac PET image analysis. This study aims to design a convolutional neural network (CNN) for automatic reorientation and evaluate its generalizability.

Authors

  • Fei Shang
    School of Information Science and Engineering, Shandong Normal University, Jinan 250014, Shandong Province, China.
  • Li Huo
    Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China. huoli@pumch.cn.
  • Tan Gong
    School of Medical Technology, Beijing Institution of Technology, No. 5, South Street, Zhongguancun, Haidian District, Beijing 100081, PR China.
  • Peipei Wang
    Department of Plant Biology, Michigan State University, East Lansing, MI, USA.
  • Ximin Shi
    Department of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science, 1# Shuaifuyuan, Dongcheng District, Beijing 100730, PR China.
  • Xiaoying Tang
    Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China.
  • Shuai Liu
    Graduate School of Chinese Academy of Traditional Chinese Medicine, Beijing, China.

Keywords

External Resources

Popular Topics
Recent Journals