Paper
13 March 2009 Towards real-time guidewire detection and tracking in the field of neuroradiology
Martin Spiegel, Marcus Pfister, Dieter Hahn, Volker Daum, Joachim Hornegger, Tobias Struffert, Arnd Dörfler
Author Affiliations +
Abstract
Two-dimensional roadmapping is considered state-of-the-art in guidewire navigation during endovascular interventions. This paper presents a methodology for extracting the guidewire from a sequence of 2-D roadmap images in almost real time. The detected guidewire can be used to improve its visibility on noisy fluoroscopic images or to do a back projection of the guidewire into a registered 3-D vessel tree. A lineness filter based on the Hessian matrix is used to detect only those line structures in the image that lie within the vessel tree. Loose wire fragments are properly linked by a novel connection method fulfilling clinical processing requirements. We show that Dijkstra's algorithm can be applied to efficiently compute the optimal connection path. The entire guidewire is finally approximated by a B-spline curve in a least-squares manner. The proposed method is both integrated into a commercial clinical prototype and evaluated on five different patient data sets containing up to 249 frames per image series.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Martin Spiegel, Marcus Pfister, Dieter Hahn, Volker Daum, Joachim Hornegger, Tobias Struffert, and Arnd Dörfler "Towards real-time guidewire detection and tracking in the field of neuroradiology", Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726105 (13 March 2009); https://doi.org/10.1117/12.811367
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CITATIONS
Cited by 9 scholarly publications and 3 patents.
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KEYWORDS
Image segmentation

Image filtering

Detection and tracking algorithms

Gold

Image processing

Prototyping

X-rays

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