A learning-based classification further improves the segmentation as by Brost et al. (2010) to a mean 3D tracking error of. , showing improved performance over vesselness-based filters, such as the Frangi filter, that can suffer from high false-positive rates.
A filter-based catheter tracking approach using simultaneous biplane fluoroscopy was previously presented. It requires localization of a circumferential ...
(b) Direct comparison of the 3-D tracking error of the filter-based and the learning-based method. The filter-based method yielded an average 3-D tracking.
A filter-based catheter tracking approach using simultaneous biplane fluoroscopy was previously presented. It requires localization of a circumferential ...
Brost, A., Wimmer, A., Liao, R., Hornegger, J., & Strobel, N. (2010). Catheter tracking: Filter-based vs. learning-based. Heidelberg, Berlin: Springer-verlag.
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A filter-based catheter tracking approach using simultaneous biplane fluoroscopy was previously presented. It requires localization of a circumferential ...
Catheter Tracking: Filter-Based vs. Learning-Based. A. Brost, A. Wimmer, R. Liao, J. Hornegger, Norbert Strobel. Export metadata. BibTeX · RIS · XML. Additional ...
In particular, for accurate and robust tracking of the catheter tip, we proposed a new deep learning based Bayesian filtering method that integrates the ...
Aug 19, 2011 · Our approach is different from recent work on CS catheter tracking [9] in four aspects: 1) our approach lever- ages learning-based detectors ...
Bibliographic details on Catheter Tracking: Filter-Based vs. Learning-Based.