Name
Abstract | ||
|---|---|---|
This paper describes a fully automatic simultaneous lung vessel and airway enhancement filter. The approach consists of a Frangi-based multiscale vessel enhancement filtering specifically designed for lung vessel and airway detection, where arteries and veins have high contrast with respect to the lung parenchyma, and airway walls are hollow tubular structures with a non negative response using the classical Frangi's filter. The features extracted from the Hessian matrix are used to detect centerlines and approximate walls of airways, decreasing the filter response in those areas by applying a penalty function to the vesselness measure. We validate the segmentation method in 20 CT scans with different pathological states within the VESSEL12 challenge framework. Results indicate that our approach obtains good results, decreasing the number of false positives in airway walls. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ISBI.2013.6556627 | Biomedical Imaging |
Keywords | Field | DocType |
Hessian matrices,blood vessels,computerised tomography,diseases,feature extraction,filtering theory,image enhancement,image segmentation,lung,medical image processing,3D Frangi-based lung vessel enhancement filter,Frangi-based multiscale vessel enhancement filtering,Hessian matrix,VESSEL12 challenge framework,airway detection,airway enhancement filter,airway walls,arteries,computerised tomography scans,feature extraction,fully automatic simultaneous lung vessel,hollow tubular structures,lung parenchyma,pathological states,segmentation method,veins,CT,filter,lung,segmentation,vessel | Computer vision,Pattern recognition,Lung,Segmentation,Computer science,Filter (signal processing),Hessian matrix,Image segmentation,Artificial intelligence,Filtering theory,Airway | Conference |
ISSN | ISBN | Citations |
1945-7928 | 978-1-4673-6456-0 | 7 |
PageRank | References | Authors |
0.63 | 5 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Jimenez-Carretero | 1 | 127 | 13.94 |
| A Santos | 2 | 281 | 26.52 |
| Sjoerd Kerkstra | 3 | 97 | 4.83 |
| Rina Dewi Rudyanto | 4 | 31 | 2.89 |
| María J. Ledesma-carbayo | 5 | 329 | 33.77 |
| Jimenez-Carretero, D. | 6 | 7 | 0.63 |
| Dewi Rudyanto, R. | 7 | 7 | 0.63 |