Cryo-balloon catheter localization in X-Ray fluoroscopy using U-net.

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

Abstract

PURPOSE: Automatic identification of interventional devices in X-ray (XR) fluoroscopy offers the potential of improved navigation during transcatheter endovascular procedures. This paper presents a prototype implementation of fully automatic 3D reconstruction of a cryo-balloon catheter during pulmonary vein isolation (PVI) procedures by deep learning approaches.

Authors

  • Ina Vernikouskaya
    Department of Internal Medicine II, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081, Ulm, Germany. ina.vernikouskaya@uni-ulm.de.
  • Dagmar Bertsche
    Department of Internal Medicine II, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081, Ulm, Germany.
  • Tillman Dahme
    Department of Internal Medicine II, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081, Ulm, Germany.
  • Volker Rasche
    Department of Internal Medicine II, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081, Ulm, Germany.