Minimal path algorithms for the robust detection of linear features in gray images
ISMM '98 Proceedings of the fourth international symposium on Mathematical morphology and its applications to image and signal processing
Muliscale Vessel Enhancement Filtering
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Guide-wire extraction through perceptual organization of local segments in fluoroscopic images
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Detection of electrophysiology catheters in noisy fluoroscopy images
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Enhancement of Low-Contrast Curvilinear Features in Imagery
IEEE Transactions on Image Processing
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Curvilinear structures are common in medical imaging, which typically require dedicated processing techniques. We present a new structure to process these, that we call the polygonal path image, denoted $\mathfrak{P}$. We derive from $\mathfrak{P}$ some curvilinear structure enhancement and analysis algorithms. We show that $\mathfrak{P}$ has some interesting properties: it generalizes several concepts found in other methods; it makes it possible to control the smoothness and length of the structures under study; and it can be computed efficiently. We estimate quantitatively its performance in the context of interventional cardiology for the detection of guide-wires in X-ray images. We show that $\mathfrak{P}$ is particularly well suited for this task where it appears to outperform previous state of the art techniques.