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Optimised passive marker device visibility and automatic marker detection for 3-T MRI-guided endovascular interventions: a pulsatile flow phantom study.

Johan NijsinkChristiaan G OverduinPatrick BrandSytse F De JongPaul J A BormMichiel C WarléJurgen J Fütterer
Published in: European radiology experimental (2022)
Marker visibility was sufficient and a large range of artifact sizes was generated by adjusting TE and IONP concentration. Deep learning-based marker detection was feasible but performance decreased for altered MR parameters. These factors should be considered to optimise device visibility and ensure reliable automatic marker detectability in MRI-guided endovascular interventions.
Keyphrases
  • deep learning
  • contrast enhanced
  • magnetic resonance imaging
  • machine learning
  • physical activity
  • magnetic resonance
  • artificial intelligence
  • loop mediated isothermal amplification
  • image quality
  • label free