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Proceedings Paper

Hierarchical guidewire tracking in fluoroscopic sequences
Author(s): Peng Wang; Ying Zhu; Wei Zhang; Terrence Chen; Peter Durlak; Ulrich Bill; Dorin Comaniciu
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Paper Abstract

In this paper, we present a novel hierarchical framework of guidewire tracking for image-guided interventions. Our method can automatically and robustly track a guidewire in fluoroscopy sequences during interventional procedures. The method consists of three main components: learning based guidewire segment detection, robust and fast rigid tracking, and nonrigid guidewire tracking. Each component aims to handle guidewire motion at a specific level. The learning based segment detection identifies small segments of a guidewire at the level of individual frames, and provides unique primitive features for subsequent tracking. Based on identified guidewire segments, the rigid tracking method robustly tracks the guidewire across successive frames, assuming that a major motion of guidewire is rigid, mainly caused by the breathing motion and table movement. Finally, a non-rigid tracking algorithm is applied to finely deform the guidewire to provide accurate shape. The presented guidewire tracking method has been evaluated on a test set of 47 sequences with more than 1000 frames. Quantitative evaluation demonstrates that the mean tracking error on the guidewire body is less than 2 pixels. Therefore the presented guidewire tracking method has a great potential for applications in image guided interventions.

Paper Details

Date Published: 27 March 2009
PDF: 8 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72591L (27 March 2009); doi: 10.1117/12.812508
Show Author Affiliations
Peng Wang, Siemens Corporate Research (United States)
Ying Zhu, Siemens Corporate Research (United States)
Wei Zhang, Siemens Corporate Research (United States)
Terrence Chen, Siemens Corporate Research (United States)
Peter Durlak, Siemens MED-AX (Germany)
Ulrich Bill, Siemens MED-AX (Germany)
Dorin Comaniciu, Siemens Corporate Research (United States)

Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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