Key result
The proposed monoplane 3D reconstruction algorithm achieved 3D RMS errors lower than 4.1 mm using three successive images, improving depth estimation accuracy by up to 50% compared to a single-image method.
A novel monoplane algorithm using a priori 3D information can estimate 3D locations of mapping catheters from single-view C-arm images with RMS errors under 4.1 mm, potentially reducing the need for expensive electroanatomic mapping systems.
May facilitate affordable catheter localization; animal data leave open human validation and adoption.
Radiofrequency (RF) catheter ablation has transformed treatment for tachyarrhythmias and has become first-line therapy for some tachycardias. The precise localization of the arrhythmogenic site and the positioning of the RF catheter over that site are problematic: they can impair the efficiency of the procedure and are time consuming (several hours). Electroanatomic mapping technologies are available that enable the display of the cardiac chambers and the relative position of ablation lesions. However, these are expensive and use custom-made catheters. The proposed methodology makes use of standard catheters and inexpensive technology in order to create a 3D volume of the heart chamber affected by the arrhythmia. Further, we propose a novel method that uses a priori 3D information of the mapping catheter in order to estimate the 3D locations of multiple electrodes across single view C-arm images. The monoplane algorithm is tested for feasibility on computer simulations and initial canine data.
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Pascal Fallavollita (2009) studied Cardiac arrhythmias. Monoplane 3D reconstruction algorithm using a priori 3D information vs. Single-image two-view projection method was evaluated on 3D root mean square (RMS) error of catheter electrode depth estimation. The proposed monoplane 3D reconstruction algorithm achieved 3D RMS errors lower than 4.1 mm using three successive images, improving depth estimation accuracy by up to 50% compared to a single-image method.
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