Total-Body PET Kinetic Modeling and Potential Opportunities Using Deep Learning.

Journal: PET clinics
Published Date:

Abstract

The uEXPLORER total-body PET/CT system provides a very high level of detection sensitivity and simultaneous coverage of the entire body for dynamic imaging for quantification of tracer kinetics. This article describes the fundamentals and potential benefits of total-body kinetic modeling and parametric imaging focusing on the noninvasive derivation of blood input function, multiparametric imaging, and high-temporal resolution kinetic modeling. Along with its attractive properties, total-body kinetic modeling also brings significant challenges, such as the large scale of total-body dynamic PET data, the need for organ and tissue appropriate input functions and kinetic models, and total-body motion correction. These challenges, and the opportunities using deep learning, are discussed.

Authors

  • Yiran Wang
    College of Computer Science and Technology, Qingdao University, Qingdao, Shandong Province, China.
  • Elizabeth Li
    Department of Biomedical Engineering, University of California, 451 E. Health Sciences Drive, Davis, CA 95616, USA.
  • Simon R Cherry
  • Guobao Wang
    Department of Radiology, University of California Davis Health, Sacramento, USA.