Real time assistance for stent positioning and assessment by self-initialized tracking

Authors:
Terrence Chen;Yu Wang;Peter Durlak;Dorin Comaniciu
Affiliations:
Corporate Research & Technology, Siemens Corporation, Princeton, NJ;Riverain Technologies, Miamisburg, OH;Siemens Healthcare, Forchheim, Germany;Corporate Research & Technology, Siemens Corporation, Princeton, NJ
Venue:
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2012

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Abstract

Detailed visualization of stents during their positioning and deployment is critical for the success of an interventional procedure. This paper presents a novel method that relies on balloon markers to enable real-time enhanced visualization and assessment of the stent positioning and expansion, together with the blood flow over the lesion area. The key novelty is an automatic tracking framework that includes a self-initialization phase based on the Viterbi algorithm and an online tracking phase implementing the Bayesian fusion of multiple cues. The resulting motion compensation stabilizes the image of the stent and by compounding multiple frames we obtain a much better stent contrast. Robust results are obtained from more than 350 clinical data sets.