Vessel Visualization using Curvicircular Feature Aggregation
| Autor: | Anca Morar, Andrej Varchola, I. Baclija, E. Gröller, Gabriel Mistelbauer, Stefan Bruckner, Armin Kanitsar, Arnold Kochl, Ruediger Schernthaner |
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| Rok vydání: | 2013 |
| Předmět: |
Computer science
business.industry education 3D reconstruction Scientific visualization Image-based modeling and rendering Computer Graphics and Computer-Aided Design Visualization Computer graphics Real-time computer graphics Ray tracing (graphics) Computer vision Segmentation Local feature size Artificial intelligence business 2D computer graphics 3D computer graphics Feature detection (computer vision) |
| Zdroj: | Computer Graphics Forum. 32:231-240 |
| ISSN: | 0167-7055 |
| DOI: | 10.1111/cgf.12110 |
| Popis: | Radiological investigations are common medical practice for the diagnosis of peripheral vascular diseases. Existing visualization methods such as Curved Planar Reformation (CPR) depict calcifications on vessel walls to determine if blood is still able to flow. While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, we propose Curvicircular Feature Aggregation (CFA), which aggregates these rotated images into a single view. By eliminating the need for rotation, vessels can be investigated by inspecting only one image. This method can be used as a guidance and visual analysis tool for treatment planning. We present applications of this technique in the medical domain and give feedback from radiologists. |
| Databáze: | OpenAIRE |
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