Name
Title | ||
|---|---|---|
Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration. |
Abstract | ||
|---|---|---|
Accurate quantification of the morphology of vessels is important for diagnosis and treatment of cardiovascular diseases. We introduce a new joint segmentation and registration approach for the quantification of the aortic arch morphology that combines 3D model-based segmentation with elastic image registration. With this combination, the approach benefits from the robustness of model-based segmentation and the accuracy of elastic registration. The approach can cope with a large spectrum of vessel shapes and particularly with pathological shapes that deviate significantly from the underlying model used for segmentation. The performance of the approach has been evaluated on the basis of 3D synthetic images, 3D phantom data, and clinical 3D CTA images including pathologies. We also performed a quantitative comparison with previous approaches. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.media.2012.05.010 | Medical Image Analysis |
Keywords | Field | DocType |
Model-based segmentation,Elastic image registration,Parametric intensity model,Vessel segmentation,Aortic arch | Elastic image registration,Computer vision,Scale-space segmentation,Aortic arch,Pattern recognition,Segmentation,Imaging phantom,Robustness (computer science),Artificial intelligence,Aortic Diseases,Mathematics,Radiographic Image Enhancement | Journal |
Volume | Issue | ISSN |
16 | 6 | 1361-8415 |
Citations | PageRank | References |
4 | 0.58 | 49 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Biesdorf | 1 | 21 | 4.05 |
| Karl Rohr | 2 | 340 | 48.69 |
| Duan Feng | 3 | 4 | 0.58 |
| Hendrik von Tengg-Kobligk | 4 | 21 | 6.84 |
| Fabian Rengier | 5 | 12 | 2.00 |
| Dittmar Böckler | 6 | 16 | 2.68 |
| Hans-ulrich Kauczor | 7 | 49 | 10.51 |
| Stefan Wörz | 8 | 256 | 32.58 |