AI-Based Evaluation of Prostate MR Imaging at a Modern Low-field 0.55 T Scanner Compared to 3 T in a Screening Cohort.

Journal: Academic radiology
PMID: 39627058

Abstract

PURPOSE: To evaluate the effect of lower field strength on quantitative apparent-diffusion-coefficient (ADC) values, contrast of the T2-weighted MR images and the performance of an AI-based segmentation.

Authors

  • Martin Segeroth
    Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
  • Hanns-Christian Breit
    Department of Radiology, University Hospital of Basel, 4031, Basel-Stadt, Switzerland.
  • Jakob Wasserthal
    Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
  • Michael Bach
    Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
  • Cyrill Rentsch
    Department of Urology, University Hospital of Basel, 4051 Basel, Basel-Stadt, Switzerland.
  • Marc Matthias
    Department of Urology, University Hospital of Basel, 4051 Basel, Basel-Stadt, Switzerland.
  • Christian Wetterauer
    Department of Urology, University Hospital of Basel, 4051 Basel, Basel-Stadt, Switzerland.
  • Elmar Max Merkle
    Department of Radiology, University Hospital Basel, 4051 Basel, Basel-Stadt, Switzerland.
  • Daniel Tobias Boll
    Department of Radiology, University Hospital Basel, 4051 Basel, Basel-Stadt, Switzerland.

Keywords

External Resources

Popular Topics
Recent Journals