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

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

Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, p.3-11 [Periódico revisado por pares]

Cham: Springer International Publishing

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  • Título:
    Robust Detection of Circles in the Vessel Contours and Application to Local Probability Density Estimation
  • Autor: Alvarez, Luis ; González, Esther ; Esclarín, Julio ; Gomez, Luis ; Alemán-Flores, Miguel ; Trujillo, Agustín ; Cuenca, Carmelo ; Mazorra, Luis ; Tahoces, Pablo G. ; Carreira, José M.
  • Assuntos: Circle Hough transform ; CT images ; Histogram analysis ; Seed point ; Vessels
  • É parte de: Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, p.3-11
  • Descrição: 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.
  • Editor: Cham: Springer International Publishing
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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