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2017 | Supplement | Buchkapitel

Robust Detection of Circles in the Vessel Contours and Application to Local Probability Density Estimation

verfasst von : Luis Alvarez, Esther González, Julio Esclarín, Luis Gomez, Miguel Alemán-Flores, Agustín Trujillo, Carmelo Cuenca, Luis Mazorra, Pablo G. Tahoces, José M. Carreira

Erschienen in: Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

Verlag: Springer International Publishing

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Abstract

In this work we propose a technique to automatically estimate circular cross-sections of the vessels in CT scans. First, a circular contour is extracted for each slice of the CT by using the Hough transform. Afterward, the locations of the circles are optimized by means of a parametric snake model, and those circles which best fit the contours of the vessels are selected by applying a robust quality criterion. Finally, this collection of circles is used to estimate the local probability density functions of the image intensity inside and outside the vessels. We present a large variety of experiments on CT scans which show the reliability of the proposed method.

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Metadaten
Titel
Robust Detection of Circles in the Vessel Contours and Application to Local Probability Density Estimation
verfasst von
Luis Alvarez
Esther González
Julio Esclarín
Luis Gomez
Miguel Alemán-Flores
Agustín Trujillo
Carmelo Cuenca
Luis Mazorra
Pablo G. Tahoces
José M. Carreira
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-67534-3_1