Automatic localization of balloon markers and guidewire in rotational fluoroscopy with application to 3d stent reconstruction

Authors:
Yu Wang;Terrence Chen;Peng Wang;Christopher Rohkohl;Dorin Comaniciu
Affiliations:
Auxogyn, Inc., CA;Siemens Corporation, Corporate Research & Technology, Princeton, NJ;Siemens Corporation, Corporate Research & Technology, Princeton, NJ;Siemens Healthcare, Forchheim, Germany;Siemens Corporation, Corporate Research & Technology, Princeton, NJ
Venue:
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Year:
2012

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Abstract

A fully automatic framework is proposed to identify consistent landmarks and wire structures in a rotational X-ray scan. In our application, we localize the balloon marker pair and the guidewire in between the marker pair on each projection angle from a rotational fluoroscopic sequence. We present an effective offline balloon marker tracking algorithm that leverages learning based detectors and employs the Viterbi algorithm to track the balloon markers in a globally optimal manner. Localizing the guidewire in between the tracked markers is formulated as tracking the middle control point of the spline fitting the guidewire. The experimental studies demonstrate that our methods achieve a marker tracking accuracy of 96.33% and a mean guidewire localization error of 0.46 mm, suggesting a great potential of our methods for clinical applications. The proposed offline marker tracking method is also successfully applied to the problem of automatic self-initialization of generic online marker trackers for 2D live fluoroscopy stream, demonstrating a success rate of 95.9% on 318 sequences. Its potential applications also include localization of landmarks in a generic rotational scan.