Curvilinear structure enhancement with the polygonal path image - Application to guide-wire segmentation in X-ray fluoroscopy.

Vincent Bismuth 1, 2 Hugues Talbot 2 Régis Vaillant 1 Laurent Najman 2
1 GE Healthcare - General Electric Medical Systems [Buc]
2 LIGM - Laboratoire d'Informatique Gaspard-Monge
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.
Keywords : curvilinear structures image segmentation shortest path}
Type de document :
Communication dans un congrès
Ayache, Nicholas and Delingette, Hervé and Golland, Polina and Mori, Kensaku. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, Oct 2012, Nice, France. Springer Berlin Heidelberg, 7511, pp.9-16, 2012, Lecture Notes in Computer Science. <10.1007/978-3-642-33418-4_2>
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Dernière modification le : mardi 16 octobre 2012 - 08:39:01
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Vincent Bismuth, Hugues Talbot, Régis Vaillant, Laurent Najman. Curvilinear structure enhancement with the polygonal path image - Application to guide-wire segmentation in X-ray fluoroscopy.. Ayache, Nicholas and Delingette, Hervé and Golland, Polina and Mori, Kensaku. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, Oct 2012, Nice, France. Springer Berlin Heidelberg, 7511, pp.9-16, 2012, Lecture Notes in Computer Science. <10.1007/978-3-642-33418-4_2>. <hal-00741956>

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