Real-time respiratory motion correction for cardiac electrophysiology procedures using image-based coronary sinus catheter tracking

YingLiang Ma, Andy King, Nicolas Gogin, Christopher Aldo Rinaldi, Jaswinder S. Gill, Reza Razavi, Kawal S Rhode

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

42 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. We propose a novel method to correct for respiratory motion using real-time image-based coronary sinus (CS) catheter tracking. The first step of the proposed technique is to use a blob detection method to detect all possible catheter electrodes in the X-ray data. We then compute a cost function to select one CS catheter from all catheter-like objects. For correcting respiratory motion, we apply a low pass filter to the 2D motion of the CS catheter and update the 3D roadmap using this filtered motion. We tested our CS catheter tracking method on 1048 fluoroscopy frames from 15 patients and achieved a success rate of 99.3% and an average 2D tracking error of 0.4 mm ± 0.2 mm. We also validated our respiratory motion correction strategy by computing the 2D target registration error (TRE) at the pulmonary veins and achieved a TRE of 1.6 mm ± 0.9 mm.
Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2010
PublisherSpringer, Cham
Number of pages9
ISBN (Electronic)978-3-642-15705-9
ISBN (Print)978-3-642-15704-2
Publication statusPublished - 2010
Externally publishedYes
EventMedical Image Computing and Computer-Assisted Intervention: 13th International Conference - Beijing, China
Duration: 20 Sept 201024 Oct 2010
Conference number: 13

Publication series

NameLecture Notes in Computer Science


ConferenceMedical Image Computing and Computer-Assisted Intervention
Abbreviated titleMICCAI 2010


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