Abstract
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.
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Bismuth, V., Vaillant, R., Talbot, H., Najman, L. (2012). Curvilinear Structure Enhancement with the Polygonal Path Image - Application to Guide-Wire Segmentation in X-Ray Fluoroscopy. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33418-4_2
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DOI: https://doi.org/10.1007/978-3-642-33418-4_2
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