Name
Title | ||
|---|---|---|
Automatic detection of supraaortic branches and model-based segmentation of the aortic arch froM 3D CTA images |
Abstract | ||
|---|---|---|
Automated quantification of the morphology of the aortic arch is crucial for diagnosis and treatment of cardiovascular diseases. We introduce a new approach for fully automatic segmentation and characterization of the aortic arch morphology for endovascular aortic repair. Supraaortic branches are detected based on an analysis of the connected components within a spherical volume around the vessel. Segmentation and quantification is based on a 3D parametric intensity model that is iteratively fitted to the image intensities and includes a fast and robust scheme for initialization. The performance of the approach has been evaluated using synthetic and real 3D CTA images. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ISBI.2009.5193090 | Boston, MA |
Keywords | DocType | ISSN |
angiocardiography,blood vessels,diagnostic radiography,image segmentation,medical image processing,3D computed tomography angiography,3D parametric intensity model,aortic arch morphology,automatic detection,endovascular aortic repair,fully automatic segmentation,supraaortic branches,Aortic Arch Segmentation,Automatic Initialization,Branch Detection,Model-Based Segmentation | Conference | 1945-7928 E-ISBN : 978-1-4244-3932-4 |
ISBN | Citations | PageRank |
978-1-4244-3932-4 | 3 | 0.46 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Biesdorf, A. | 1 | 3 | 0.46 |
| Stefan Wörz | 2 | 256 | 32.58 |
| von Tengg-Kobligk Hendrik | 3 | 4 | 1.50 |
| Karl Rohr | 4 | 340 | 48.69 |