Robust navigation support in lowest dose image setting

• Published in: International journal for computer assisted radiology and surgery Vol. 14; no. 2; pp. 291 - 300
• Main Authors: Bui, Mai, Bourier, Felix, Baur, Christoph, Milletari, Fausto, Navab, Nassir, Demirci, Stefanie
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.02.2019; Springer Nature B.V
• Subjects: Ablation; Algorithms; Arrhythmia; Arrhythmias, Cardiac - diagnosis; Cardiac Catheters; Catheter Ablation - methods; Catheterization; Catheters; Coding; Computer Imaging; Computer Science; Electrodes; Electrophysiologic Techniques, Cardiac - methods; Electrophysiology; Fluoroscopy; Fluoroscopy - methods; Ground truth; Health Informatics; Humans; Image enhancement; Image setting; Imaging; Labels; Medical imaging; Medical personnel; Medicine; Medicine & Public Health; Myocardium; Original Article; Pattern Recognition and Graphics; Perturbation; Radiology; Robustness; Sequences; Surgery; Tracking; Vision; X ray imagery; Online tracking; Electrode tracking; Fluoroscopy; Online robust PCA; Sparse coding; Computer-assisted electrophysiology
• ISSN: 1861-6410; 1861-6429; 1861-6429
• DOI: 10.1007/s11548-018-1874-8

Purpose Clinical cardiac electrophysiology (EP) is concerned with diagnosis and treatment of cardiac arrhythmia describing abnormality or perturbation in the normal activation sequence of the myocardium. With the recent introduction of lowest dose X-ray imaging protocol for EP procedures, interventional image enhancement has gained crucial importance for the well-being of patients as well as medical staff. Methods In this paper, we introduce a novel method to detect and track different EP catheter electrodes in lowest dose fluoroscopic sequences based on ℓ 1 -sparse coding and online robust PCA (ORPCA) . Besides being able to work on real lowest dose sequences, the underlying methodology achieves simultaneous detection and tracking of three main EP catheters used during ablation procedures. Results We have validated our algorithm on 16 lowest dose fluoroscopic sequences acquired during real cardiac ablation procedures. In addition to expert labels for 2 sequences, we have employed a crowdsourcing strategy to obtain ground truth labels for the remaining 14 sequences. In order to validate the effect of different training data, we have employed a leave-one-out cross-validation scheme yielding an average detection rate of 86.9 % . Conclusion Besides these promising quantitative results, our medical partners also expressed their high satisfaction. Being based on ℓ 1 -sparse coding and online robust PCA (ORPCA) , our method advances previous approaches by being able to detect and track electrodes attached to multiple different catheters.