Name
Abstract | ||
|---|---|---|
CT-angiography is a well established medical imaging technique for the detection, evaluation and therapy planning of intracranial aneurysms. Different 3D visualization algorithms such as maximum intensity projection, shaded surface display and direct volume rendering support the analysis of the resulting volumes. Despite the available flexibility, this general approach leads to almost unreproducible and patient specific results. They depend completely on the applied algorithm and the parameter setting chosen in a wide range. Therefore, the results are inapplicable for inter-patient or inter-study comparisons. As a solution to this problem, we suggest to make the visualization fully independent of any user interaction. In consequence the main focus of the presented work lies on standardization and automation which guarantees comparable 3D representations for the analysis of intracranial aneurysms. For this purpose, we introduce a web-based system providing digital video sequences based on automatically performed hardware accelerated direct volume rendering. Any preprocessing such as the setting of transfer functions and the placement of clip planes is performed according to a predefined protocol. In addition to an overview using the whole volume, every dataset is divided into four subvolumes supporting a detailed inspection of the vessels and their branches. Overall, the value of the system is demonstrated with several clinical examples. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-45786-0_51 | MICCAI |
Keywords | Field | DocType |
detailed inspection,visualization algorithm,web-based system,digital video sequences,applied algorithm,whole volume,direct volume rendering,intracranial aneurysms,available flexibility,clip plane,standardized analysis,clinical example,automation,visualization,standardization,3d visualization,hardware accelerator,maximum intensity projection,transfer function | Computer vision,Volume rendering,Medical imaging,Visualization,Computer science,Maximum intensity projection,Automation,Transfer function,Preprocessor,Artificial intelligence,Standardization | Conference |
Volume | ISSN | ISBN |
2488 | 0302-9743 | 3-540-44224-3 |
Citations | PageRank | References |
5 | 0.49 | 8 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Iserhardt-Bauer | 1 | 8 | 1.08 |
| Peter Hastreiter | 2 | 310 | 44.28 |
| Bernd Tomandl | 3 | 45 | 8.11 |
| N. Köstner | 4 | 5 | 0.49 |
| M. Schempershofe | 5 | 5 | 0.49 |
| U. Nissen | 6 | 5 | 0.49 |
| Thomas Ertl | 7 | 4417 | 401.52 |