Heart and bladder detection and segmentation on FDG PET/CT by deep learning.

Journal: BMC medical imaging
Published Date:

Abstract

PURPOSE: Positron emission tomography (PET)/ computed tomography (CT) has been extensively used to quantify metabolically active tumors in various oncology indications. However, FDG-PET/CT often encounters false positives in tumor detection due to fluorodeoxyglucose (FDG) accumulation from the heart and bladder that often exhibit similar FDG uptake as tumors. Thus, it is necessary to eliminate this source of physiological noise. Major challenges for this task include: (1) large inter-patient variability in the appearance for the heart and bladder. (2) The size and shape of bladder or heart may appear different on PET and CT. (3) Tumors can be very close or connected to the heart or bladder.

Authors

  • Xiaoyong Wang
    Genentech, Inc., South San Francisco, CA, USA. wang.xiaoyong@gene.com.
  • Skander Jemaa
    Genentech, Inc., South San Francisco, CA, USA.
  • Jill Fredrickson
    Genentech, Inc., South San Francisco, CA, USA.
  • Alexandre Fernandez Coimbra
    Genentech, Inc., South San Francisco, CA, USA.
  • Tina Nielsen
    F. Hoffman-La Roche Ltd., Basel, Switzerland.
  • Alex de Crespigny
    From the Department of Product Development-Personalized HealthCare Imaging (A.P.K., Z.S., T.B., R.A.D.C.), Clinical Imaging Group, gRED (D.C., A.d.C.), and DevSci OMNI-Biomarker Development (X.J.), Genentech, 600 E Grand Ave, South San Francisco, CA 94080; and Global Product Development Medical Affairs, Neuroscience, F. Hoffmann-La Roche, Basel, Switzerland (L.G.).
  • Thomas Bengtsson
    Genentech, Inc., South San Francisco, CA, USA.
  • Richard A D Carano
    From the Department of Product Development-Personalized HealthCare Imaging (A.P.K., Z.S., T.B., R.A.D.C.), Clinical Imaging Group, gRED (D.C., A.d.C.), and DevSci OMNI-Biomarker Development (X.J.), Genentech, 600 E Grand Ave, South San Francisco, CA 94080; and Global Product Development Medical Affairs, Neuroscience, F. Hoffmann-La Roche, Basel, Switzerland (L.G.).