Electrophysiology Catheter Detection and Reconstruction From Two Views in Fluoroscopic Images

IEEE Trans Med Imaging. 2016 Feb;35(2):567-79. doi: 10.1109/TMI.2015.2482539. Epub 2015 Sep 28.

Abstract

Electrophysiology (EP) studies and catheter ablation have become important treatment options for several types of cardiac arrhythmias. We present a novel image-based approach for automatic detection and 3-D reconstruction of EP catheters where the physician marks the catheter to be reconstructed by a single click in each image. The result can be used to provide 3-D information for enhanced navigation throughout EP procedures. Our approach involves two X-ray projections acquired from different angles, and it is based on two steps: First, we detect the catheter in each view after manual initialization using a graph-search method. Then, the detection results are used to reconstruct a full 3-D model of the catheter based on automatically determined point pairs for triangulation. An evaluation on 176 different clinical fluoroscopic images yielded a detection rate of 83.4%. For measuring the error, we used the coupling distance which is a more accurate quality measure than the average point-wise distance to a reference. For successful outcomes, the 2-D detection error was 1.7 mm ±1.2 mm. Using successfully detected catheters for reconstruction, we obtained a reconstruction error of 1.8 mm ±1.1 mm on phantom data. On clinical data, our method yielded a reconstruction error of 2.2 mm ±2.2 mm.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Catheter Ablation / methods*
  • Electrocardiography
  • Fluoroscopy / methods*
  • Humans
  • Imaging, Three-Dimensional / methods*
  • Phantoms, Imaging
  • Surgery, Computer-Assisted / methods*