Name
Title | ||
|---|---|---|
Combined model-based segmentation and elastic registration for accurate quantification of the aortic arch. |
Abstract | ||
|---|---|---|
Accurate quantification of the morphology of vessels is important for diagnosis and treatment of cardiovascular diseases. We introduce a new approach for the quantification of the aortic arch morphology that combines 3D model-based segmentation with elastic image registration. The performance of the approach has been evaluated using 3D synthetic images and clinically relevant 3D CTA images including pathologies. We also performed a comparison with a previous approach. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15705-9_54 | MICCAI |
Keywords | Field | DocType |
synthetic image,combined model-based segmentation,cta image,aortic arch morphology,model-based segmentation,cardiovascular disease,previous approach,accurate quantification,elastic registration,new approach,elastic image registration,image registration | Elastic image registration,Computer vision,Vessel segmentation,Aortic arch,Pattern recognition,Computer science,Segmentation,Artificial intelligence | Conference |
Volume | Issue | ISSN |
13 | Pt 1 | 0302-9743 |
ISBN | Citations | PageRank |
3-642-15704-1 | 2 | 0.41 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Biesdorf | 1 | 21 | 4.05 |
| Karl Rohr | 2 | 340 | 48.69 |
| Hendrik von Tengg-Kobligk | 3 | 21 | 6.84 |
| Stefan Wörz | 4 | 256 | 32.58 |