Parametric-MAA: fast, object-centric avoidance of metal artifacts for intraoperative CBCT.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

PURPOSE: Metal artifacts remain a persistent issue in intraoperative CBCT imaging. Particularly in orthopedic and trauma applications, these artifacts obstruct clinically relevant areas around the implant, reducing the modality's clinical value. Metal artifact avoidance (MAA) methods have shown potential to improve image quality through trajectory adjustments, but often fail in clinical practice due to their focus on irrelevant objects and high computational demands. To address these limitations, we introduce the novel parametric metal artifact avoidance (P-MAA) method.

Authors

  • Maximilian Rohleder
    Pattern Recognition Lab, FAU Erlangen-Nürnberg, Germany.
  • Andreas Maier
    Pattern Recognition Lab, University Erlangen-Nürnberg, Erlangen, Germany.
  • Bjoern Kreher
    Siemens Healthineers AG, Siemensstraße 1, 91301, Forchheim, Germany.