Application of Virtual Navigation with Multimodality Image Fusion in Foramen Ovale Cannulation | Zendy

Xixiong Qiu | Zendy; Weizong Liu | Zendy; Ming-Dong Zhang | Zendy; Hengzhou Lin | Zendy; Shoujun Zhou | Zendy; Lei Yi | Zendy; Jun Xia | Zendy

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Application of Virtual Navigation with Multimodality Image Fusion in Foramen Ovale Cannulation

Author(s) -

Xixiong Qiu,

Weizong Liu,

Ming-Dong Zhang,

Hengzhou Lin,

Shoujun Zhou,

Lei Yi,

Jun Xia

Publication year - 2017

Publication title -

pain medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.893

H-Index - 97

eISSN - 1526-4637

pISSN - 1526-2375

DOI - 10.1093/pm/pnx017

Subject(s) - multimodality , medicine , patent foramen ovale , foramen ovale (heart) , radiology , computer vision , computer science , world wide web , percutaneous

Idiopathic trigeminal neuralgia (ITN) can be effectively treated with radiofrequency thermocoagulation. However, this procedure requires cannulation of the foramen ovale, and conventional cannulation methods are associated with high failure rates. Multimodality imaging can improve the accuracy of cannulation because each imaging method can compensate for the drawbacks of the other. We aim to determine the feasibility and accuracy of percutaneous foramen ovale cannulation under the guidance of virtual navigation with multimodality image fusion in a self-designed anatomical model of human cadaveric heads.

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