Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods.

Journal: Abdominal radiology (New York)
Published Date:

Abstract

OBJECTIVE: Automated methods for prostate segmentation on MRI are typically developed under ideal scanning and anatomical conditions. This study evaluates three different prostate segmentation AI algorithms in a challenging population of patients with prior treatments, variable anatomic characteristics, complex clinical history, or atypical MRI acquisition parameters.

Authors

  • Latrice A Johnson
    Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Stephanie A Harmon
    Clinical Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, Maryland, USA.
  • Enis C Yilmaz
    Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Yue Lin
    Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
  • Mason J Belue
    Medical Research Scholars Program Fellow, Artificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Katie M Merriman
    Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
  • Nathan S Lay
    Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, 10 Center Dr., MSC 1182, Building 10, Room B3B85, Bethesda, Maryland.
  • Thomas H Sanford
    State University of New York-Upstate Medical Center, Syracuse, NY, USA.
  • Karthik V Sarma
    Department of Bioengineering, University of California, Los Angeles, CA, USA.
  • Corey W Arnold
    Department of Bioengineering; University of California, Los Angeles, CA.
  • Ziyue Xu
    Center for Infectious Disease Imaging (CIDI), Radiology and Imaging Science Department, National Institutes of Health (NIH), Bethesda, MD 20892, United States.
  • Holger R Roth
  • Dong Yang
    College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology Xi'an 710021 China yangdong@sust.edu.cn.
  • Jesse Tetreault
    NVIDIA Corporation, Bethesda, Maryland, USA.
  • Daguang Xu
    NVIDIA, Santa Clara, CA, USA.
  • Krishnan R Patel
    Radiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
  • Sandeep Gurram
    National Cancer Institute, Bethesda, MD.
  • Bradford J Wood
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Deborah E Citrin
    Radiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
  • Peter A Pinto
    Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Peter L Choyke
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Baris Turkbey
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.