Deep learning for improving PET/CT attenuation correction by elastic registration of anatomical data.

Journal: European journal of nuclear medicine and molecular imaging
Published Date: Jul 1, 2023

Abstract

BACKGROUND: For PET/CT, the CT transmission data are used to correct the PET emission data for attenuation. However, subject motion between the consecutive scans can cause problems for the PET reconstruction. A method to match the CT to the PET would reduce resulting artifacts in the reconstructed images.

Authors

  • Joshua Schaefferkoetter
    Siemens Medical Solutions USA, Inc., 810 Innovation Drive, Knoxville, TN, 37932, USA. joshua.schaefferkoetter@siemens.com.
  • Vijay Shah
    Siemens Medical Solutions USA, Inc., 810 Innovation Drive, Knoxville, TN, 37932, USA.
  • Charles Hayden
    Siemens Medical Solutions USA, Inc., 810 Innovation Drive, Knoxville, TN, 37932, USA.
  • John O Prior
    Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland.
  • Sven Zuehlsdorff
    Siemens Medical Solutions USA, Inc., Knoxville, Tennessee.

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