Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/40192
Title: Robust detection of circles in the vessel contours and application to local probability density estimation
Authors: Alvarez, Luis 
González Sánchez, Esther 
Esclarín, Julio 
Gomez, Luis 
Alemán-Flores, Miguel 
Trujillo, Agustín 
Cuenca Hernández, Carmelo 
Mazorra, Luis 
Tahoces, P.G.
Carreira-Villamor, José Martín
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
Keywords: Circle Hough transform
CT images
Histogram analysis
Seed point
Vessels
Issue Date: 2017
Publisher: Springer 
Project: Nuevos Modelos Matemáticos Para la Segmentación y Clasificación en Imágenes 
Journal: Lecture Notes in Computer Science 
Conference: 6th Joint International Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT0 / 2nd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS)
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.
URI: http://hdl.handle.net/10553/40192
ISBN: 978-3-319-67533-6
ISSN: 0302-9743
DOI: 10.1007/978-3-319-67534-3_1
Source: Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. LABELS 2017, STENT 2017, CVII 2017. Lecture Notes in Computer Science, v. 10552 LNCS, p. 3-11
Appears in Collections:Capítulo de libro
Show full item record

SCOPUSTM   
Citations

3
checked on Mar 24, 2024

WEB OF SCIENCETM
Citations

2
checked on Feb 25, 2024

Page view(s)

105
checked on Sep 23, 2023

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.