Deep Learning-Based Interpretable AI for Prostate T2W MRI Quality Evaluation.

Journal: Academic radiology
Published Date: Oct 17, 2023

Abstract

RATIONALE AND OBJECTIVES: Prostate MRI quality is essential in guiding prostate biopsies. However, assessment of MRI quality is subjective with variation. Quality degradation sources exert varying impacts based on the sequence under consideration, such as T2W versus DWI. As a result, employing sequence-specific techniques for quality assessment could yield more advantageous outcomes. This study aims to develop an AI tool that offers a more consistent evaluation of T2W prostate MRI quality, efficiently identifying suboptimal scans while minimizing user bias.

Authors

  • Mason J Belue
    Medical Research Scholars Program Fellow, Artificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Yan Mee Law
    Department of Diagnostic Radiology, Singapore General Hospital, Singapore.
  • Jamie Marko
    Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD.
  • Evrim Turkbey
    Radiology and Imaging Sciences, NIH Clinical Center, National Institutes of Health, Bethesda, MD, USA.
  • Ashkan Malayeri
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 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.
  • Latrice Johnson
    Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA (M.J.B., E.C.Y., Y.L., L.J., K.M.M, N.S.L., P.L.C., S.A.H., B.T.).
  • 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.
  • Bradford J Wood
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • 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.
  • Stephanie A Harmon
    Clinical Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, Maryland, USA.
  • Baris Turkbey
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

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