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

PET Clin. 2021 Oct;16(4):613-625. doi: 10.1016/j.cpet.2021.06.009. Epub 2021 Aug 3.

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.

Keywords: Deep learning; Dynamic imaging; Kinetic modeling; Parametric imaging; Total-body PET.

Publication types

  • Review

MeSH terms

  • Algorithms
  • Deep Learning*
  • Humans
  • Kinetics
  • Positron Emission Tomography Computed Tomography*
  • Positron-Emission Tomography