Guidewire tracking during endovascular neurosurgery.

This paper presents a new method for guidewire tracking on fluoroscopic images from endovascular brain intervention. The combination of algorithms chosen can be implemented in real time, so that it can be used in an augmented reality 3D representation to assist physicians performing these interventions. A ribbon-like morphing process combined with a minimal path optimization algorithm is used to track lateral motion between successive frames. Forward motions are then tracked with an endpoint tracking algorithm, based on a circular window processed with the Radon transform. The proposed method was tested on 6 fluoroscopic sequences presenting high-speed motions, which were saved during endovascular brain interventions. The experiments showed above-average precision and robust guidewire tracking, without any permanent error requiring manual correction.

[1]  Jean-Philippe Thiran,et al.  User-constrained guidewire localization in fluoroscopy , 2009, Medical Imaging.

[2]  Jacques A. de Guise,et al.  Wires segmentation in fluoroscopic images during cerebral aneurysm endovascular intervention , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[3]  Luc Florack,et al.  An Efficient Method for Tensor Voting Using Steerable Filters , 2006, ECCV.

[4]  Joachim Hornegger,et al.  Towards real-time guidewire detection and tracking in the field of neuroradiology , 2009, Medical Imaging.

[5]  Luc Vincent,et al.  Minimal path algorithms for the robust detection of linear features in gray images , 1998 .

[6]  Marie-Odile Berger,et al.  Model of a Vascular C-Arm for 3D Augmented Fluoroscopy in Interventional Radiology , 2005, MICCAI.

[7]  Theo van Walsum,et al.  Endpoint localization in guide wire tracking during endovascular interventions1 , 2003 .

[8]  Tong Fang,et al.  Variational Guidewire Tracking Using Phase Congruency , 2007, MICCAI.

[9]  Pascal Haigron,et al.  Computer-assisted aided Endovascular Navigation: Study of Geometrical Transformations , 2007 .

[10]  Holger Timinger,et al.  Modality-integrated magnetic catheter tracking for x-ray vascular interventions. , 2005, Physics in medicine and biology.

[11]  Carl-Fredrik Westin,et al.  Preliminary results of nonfluoroscopy-based 3D navigation for neurointerventional procedures. , 2007, Journal of vascular and interventional radiology : JVIR.

[12]  Alejandro F. Frangi,et al.  Muliscale Vessel Enhancement Filtering , 1998, MICCAI.

[13]  Michael Zarkh,et al.  Guide wire navigation and therapeutic device localization for catheterization procedure , 2005 .

[14]  Wiro J Niessen,et al.  Endpoint localization in guide wire tracking during endovascular interventions. , 2003, Academic radiology.

[15]  Claude Kauffmann,et al.  Method for fast and accurate segmentation processing from prior shape: application to femoral head segmentation on x-ray images , 2009, Medical Imaging.

[16]  Alejandro F. Frangi,et al.  Guide Wire Tracking During Endovascular Interventions , 2000, International Conference on Medical Image Computing and Computer-Assisted Intervention.

[17]  Y. Trousset,et al.  3D angiography. Clinical interest. First applications in interventional neuroradiology. , 1998, Journal of neuroradiology. Journal de neuroradiologie.

[18]  Pascal Haigron,et al.  Endovascular navigation based on real/virtual environments cooperation for computer-assisted TEAM procedures , 2004, Medical Imaging: Image-Guided Procedures.

[19]  P.D. Wolf,et al.  Registration of three-dimensional cardiac catheter models to single-plane fluoroscopic images , 1999, IEEE Transactions on Biomedical Engineering.

[20]  Wei Zhang,et al.  Hierarchical guidewire tracking in fluoroscopic sequences , 2009, Medical Imaging.

[21]  Pascal Bigras,et al.  Automatically Driven Vector for Guidewire Segmentation in 2D and Biplane Fluoroscopy , 2009 .

[22]  Theo van Walsum,et al.  Three-dimensional guide wire visualization from 3DRA using monoplane fluoroscopic imaging , 2003, SPIE Medical Imaging.

[23]  Dorin Comaniciu,et al.  Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[24]  R. Beyar,et al.  Identifying and tracking a guide wire in the coronary arteries during angioplasty from X-ray images , 1997, IEEE Transactions on Biomedical Engineering.

[25]  Michael Zarkh,et al.  Three-dimensional reconstruction and analysis of coronary vessels: the CardiOp-B system , 2004, CARS.