Automatic camera-based identification and 3-D reconstruction of electrode positions in electrocardiographic imaging

• Published in: Biomedizinische Technik Vol. 59; no. 6; pp. 515 - 528
• Main Authors: Schulze, Walther H.W., Mackens, Patrick, Potyagaylo, Danila, Rhode, Kawal, Tülümen, Erol, Schimpf, Rainer, Papavassiliu, Theano, Borggrefe, Martin, Dössel, Olaf
• Format: Journal Article
• Language: English
• Published: Germany De Gruyter 01.12.2014
• Subjects: Algorithms; Automation; body surface potential mapping; Body Surface Potential Mapping - instrumentation; Body Surface Potential Mapping - methods; Channels; Electrocardiography - instrumentation; Electrocardiography - methods; electrode identification; electrode localization; Electrodes; Fiducial Markers; Humans; Imaging; Imaging, Three-Dimensional - instrumentation; Imaging, Three-Dimensional - methods; Localization; Pattern Recognition, Automated - methods; Phantoms, Imaging; Photogrammetry - methods; Position (location); Reconstruction; Reproducibility of Results; Sensitivity and Specificity; Thorax - anatomy & histology; Three dimensional; two-view geometry
• ISSN: 0013-5585; 1862-278X
• DOI: 10.1515/bmt-2014-0018

Electrocardiographic imaging (ECG imaging) is a method to depict electrophysiological processes in the heart. It is an emerging technology with the potential of making the therapy of cardiac arrhythmia less invasive, less expensive, and more precise. A major challenge for integrating the method into clinical workflow is the seamless and correct identification and localization of electrodes on the thorax and their assignment to recorded channels. This work proposes a camera-based system, which can localize all electrode positions at once and to an accuracy of approximately 1±1 mm. A system for automatic identification of individual electrodes is implemented that overcomes the need of manual annotation. For this purpose, a system of markers is suggested, which facilitates a precise localization to subpixel accuracy and robust identification using an error-correcting code. The accuracy of the presented system in identifying and localizing electrodes is validated in a phantom study. Its overall capability is demonstrated in a clinical scenario.