Comparing image-based respiratory motion correction methods for anatomical roadmap guided cardiac electrophysiology procedures

YingLiang Ma, Andy P. King, Nicolas Gogin, Geert Gijsbers, C. Aldo Rinaldi, Jaswinder Gill, Reza Razavi, Kawal S. Rhode

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


X-ray fluoroscopically guided cardiac electrophysiological procedures are routinely carried out for diagnosis and treatment of cardiac arrhythmias. X-ray images have poor soft tissue contrast and, for this reason, overlay of static 3D roadmaps derived from pre-procedural volumetric data can be used to add anatomical information. However, the registration between the 3D roadmap and the 2D X-ray data can be compromised by patient respiratory motion. Three methods were evaluated to correct for respiratory motion using features in the X-ray image data. The first method is based on tracking either the diaphragm or the heart border using the image intensity in a region of interest. The second method detects the tracheal bifurcation using the generalized Hough transform and a 3D model derived from pre-operative image data. The third method is based on tracking the coronary sinus (CS) catheter. All three methods were applied to X-ray images from 18 patients undergoing radiofrequency ablation for the treatment of atrial fibrillation. The 2D target registration errors (TRE) at the pulmonary veins were calculated to validate the methods. A TRE of 1.6 mm ± 0.8 mm was achieved for the diaphragm tracking; 1.7 mm ± 0.9 mm for heart border tracking; 1.9 mm ± 1.0 mm for trachea tracking and 1.8 mm ± 0.9 mm for CS catheter tracking. We also present a comparison between our techniques with other published image-based motion correction strategies.
Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart
Subtitle of host publicationFIMH 2011
EditorsDimitris N. Metaxas, Leon Axel
Number of pages8
ISBN (Electronic)978-3-642-21028-0
ISBN (Print)978-3-642-21027-3
Publication statusPublished - 2011

Publication series

NameLecture Notes in Computer Science

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