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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

01.07.2016 | Original Article

Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences

verfasst von: Christoph Baur, Fausto Milletari, Vasileios Belagiannis, Nassir Navab, Pascal Fallavollita

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 7/2016

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Abstract

Purpose

Catheter guidance is a vital task for the success of electrophysiology interventions. It is usually provided through fluoroscopic images that are taken intra-operatively. The cardiologists, who are typically equipped with C-arm systems, scan the patient from multiple views rotating the fluoroscope around one of its axes. The resulting sequences allow the cardiologists to build a mental model of the 3D position of the catheters and interest points from the multiple views.

Method

We describe and compare different 3D catheter reconstruction strategies and ultimately propose a novel and robust method for the automatic reconstruction of 3D catheters in non-synchronized fluoroscopic sequences. This approach does not purely rely on triangulation but incorporates prior knowledge about the catheters. In conjunction with an automatic detection method, we demonstrate the performance of our method compared to ground truth annotations.

Results

In our experiments that include 20 biplane datasets, we achieve an average reprojection error of 0.43 mm and an average reconstruction error of 0.67 mm compared to gold standard annotation.

Conclusions

In clinical practice, catheters suffer from complex motion due to the combined effect of heartbeat and respiratory motion. As a result, any 3D reconstruction algorithm via triangulation is imprecise. We have proposed a new method that is fully automatic and highly accurate to reconstruct catheters in three dimensions.

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Titel: Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences
verfasst von: Christoph Baur
Fausto Milletari
Vasileios Belagiannis
Nassir Navab
Pascal Fallavollita
Publikationsdatum: 01.07.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 7/2016
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-015-1325-8

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Abstract

Purpose

Method

Results

Conclusions

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