Development and validation of a framework for registration of whole-mount radical prostatectomy histopathology with three-dimensional transrectal ultrasound.

Journal: BMC urology
PMID: 40175990

Abstract

PURPOSE: Artificial intelligence (AI) has the potential to improve diagnostic imaging on multiple levels. To develop and validate these AI-assisted modalities a reliable dataset is of utmost importance. The registration of imaging to pathology is an essential step in creating such a dataset. This study presents a comprehensive framework for the registration of 3D transrectal ultrasound (TRUS) to radical prostatectomy specimen (RPS) pathology.

Authors

  • Auke Jager
    Department of Urology, Amsterdam UMC, Amsterdam, The Netherlands.
  • Marije J Zwart
    Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Arnoud W Postema
    Department of Urology, Leiden University Medical Center, Leiden, The Netherlands.
  • Daniel L van den Kroonenberg
    Department of Urology, Amsterdam UMC, Amsterdam, The Netherlands.
  • Wim Zwart
    Angiogenesis Analytics, JADS Venture Campus, 's-Hertogenbosch, The Netherlands.
  • Harrie P Beerlage
    Department of Urology, Amsterdam University Medical Centers (Amsterdam UMC), University of Amsterdam, Amsterdam, The Netherlands.
  • J R Oddens
    Department of Urology, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
  • Massimo Mischi
    Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.

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