Curvature-dependent surface visualization of vascular structures
| Autor: | Renhui Ma, Qingmao Hu, Xin Ma, Jianhuang Wu, Fucang Jia |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Adaptive sampling
Radiological and Ultrasound Technology Computer science business.industry Angiography Health Informatics Therapy planning Curvature Computer Graphics and Computer-Aided Design Visualization Rendering (computer graphics) Imaging Three-Dimensional Image Processing Computer-Assisted Blood Vessels Humans Radiology Nuclear Medicine and imaging Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Large size Algorithms ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 34(8) |
| ISSN: | 1879-0771 |
| Popis: | Efficient visualization of vascular structures is essential for therapy planning and medical education. Existing techniques achieve high-quality visualization of vascular surfaces at the cost of low rendering speed and large size of resulting surface. In this paper, we present an approach for visualizing vascular structures by exploiting the local curvature information of a given surface. To handle complex topology of loop and multiple parents and/or multiple children, bidirectional adaptive sampling and modified normal calculations at joints are proposed. The proposed method has been applied to cerebral vascular trees, liver vessel trees, and aortic vessel trees. The experimental results show that it can obtain a high-quality surface visualization with fewer polygons in the approximation. |
| Databáze: | OpenAIRE |
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