Name
Abstract | ||
|---|---|---|
A method to semi-automatically segment the pulmonary vascular tree from computed axial tomography (CAT) images is presented. The main goal is to aid the diagnosis and treatment of acute respiratory distress syndrome and pulmonary embolism. The proposed methodology is based on a variational region growing method and a multi-scale vessel enhancement filter. Preliminary studies were made with a 20 CAT image dataset that included healthy and pathological lung scans. The results were satisfactory, although in some cases vessels were not correctly distinguished from other thin structures such as mucus-filled bronchi, nodules and airway walls connected to vessels. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CLEI.2012.6427119 | Informatica |
Keywords | DocType | ISBN |
Hessian matrices,computerised tomography,medical image processing,patient diagnosis,patient treatment,trees (mathematics),CAT image dataset,Hessian matrix,acute respiratory distress syndrome,computed axial tomography images,image segmentation,multi-scale vessel enhancement filter,pathological lung scans,pulmonary embolism,pulmonary vascular tree,variational region growing method,hessian matrix,pulmonary vascular tree,segmentation,vesselness | Conference | 978-1-4673-0794-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan-Carlos Prieto | 1 | 25 | 1.94 |
| Chantal Revol-muller | 2 | 32 | 5.73 |
| Christophe Odet | 3 | 97 | 19.86 |
| Maciej Orkisz | 4 | 315 | 24.14 |
| Carolina Perez Romanello | 5 | 0 | 0.34 |
| Vanessa Perez Romanello | 6 | 0 | 0.34 |
| Marcela Hernández Hoyos | 7 | 228 | 15.91 |
| Revol-Muller, C. | 8 | 0 | 0.34 |