IVIM parameters mapping with artificial neural network based on mean deviation prior.

Journal: Medical physics
Published Date: Sep 6, 2024

Abstract

BACKGROUND: The diffusion and perfusion parameters derived from intravoxel incoherent motion (IVIM) imaging provide promising biomarkers for noninvasively quantifying and managing various diseases. Nevertheless, due to the distribution gap between simulated and real datasets, the out-of-distribution (OOD) problem occurred in supervised learning-based methods degrades their performance and hinders their real applications.

Authors

  • Guodong Hu
    Shandong Key Laboratory of Biophysics, Dezhou University, Dezhou 253023, China.
  • Chen Ye
    School of Computer Science and Technology & Mine Digitization Engineering Research Center of Ministry of Education of the People's Republic of China, China University of Mining and Technology, Xuzhou 221116, China.
  • Ming Zhong
    Department of Land Resources and Environment, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China.
  • Chao Lei
    Engineering Research Center of Text Computing & Cognitive Intelligence, Ministry of Education, Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China.
  • Junpeng Qin
    Engineering Research Center of Text Computing & Cognitive Intelligence, Ministry of Education, Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China.
  • Lihui Wang
    Shanghai Mental Health Center, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.

Keywords

External Resources

Popular Topics
Recent Journals