Name
Title | ||
|---|---|---|
Robust Detection Of Circles In The Vessel Contours And Application To Local Probability Density Estimation |
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-67534-3_1 | INTRAVASCULAR IMAGING AND COMPUTER ASSISTED STENTING, AND LARGE-SCALE ANNOTATION OF BIOMEDICAL DATA AND EXPERT LABEL SYNTHESIS |
Keywords | DocType | Volume |
Vessels, Circle Hough transform, Seed point, Histogram analysis, CT images | Conference | 10552 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis Álvarez-León | 1 | 12 | 3.77 |
| Esther González | 2 | 9 | 2.60 |
| Julio Esclarín | 3 | 0 | 0.34 |
| Luis Gomez | 4 | 37 | 6.88 |
| Miguel Alemán-Flores | 5 | 69 | 12.06 |
| Agustín Trujillo | 6 | 32 | 8.34 |
| Carmelo Cuenca | 7 | 16 | 6.12 |
| L. Mazorra | 8 | 38 | 6.69 |
| Pablo G. Tahoces | 9 | 127 | 16.27 |
| José M. Carreira | 10 | 0 | 0.34 |