Name
Title | ||
|---|---|---|
Automatic adjustment of bidimensional transfer functions for direct volume visualization of intracranial aneurysms |
Abstract | ||
|---|---|---|
Direct volume visualization of computer tomography data is based on the mapping of data values to colors and opacities with lookup-tables known as transfer functions. Often, limitations of one-dimensional transfer functions become evident when it comes to the visualization of aneurysms close the skull base. Computer tomography angiography data is used for the 3D-representation of the vessels filled with contrast medium. The reduced intensity differences between osseous tissue and contrast medium lead to strong artifacts and ambiguous visualizations. We introduced the use of bidimensional transfer functions based on measured intensities and gradient madmitudes for the visualization of aneurysms involving the skull base. The obtained results are clearly superior to a standard approach with one-dimensional transfer functions. Nevertheless. the additional degree of freedom increases the difficulty involved in creating adequate TFs. In order to address this problem, we introduce automatic adjustment of bidimensional TFs through a registration of respective 2D histograms. Initially a dataset is set as reference and the information contained in its 2D histogram (intensities and gradient magnitudes) is used to create a transfer function template which produces a clear visualization of the vessels. When a new dataset is examined, elastic registration of the reference and target 2D histograms is carried out. The resulting free form deformation is then used for the automatic adjustment of the reference transfer function, in order to automatically, obtain a clear volume visualization of the vascular structures within the examined dataset. Results are comparable to manually created transfer functions. This approach makes it possible to successfully use bidimensional transfer functions without technical insight and training. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1117/12.535534 | Proceedings of SPIE |
Keywords | Field | DocType |
automatic 3D-Visualization,2D transfer functions,aneurysms,skull base | Histogram,Computer vision,Degrees of freedom (statistics),Volume visualization,Computer science,Visualization,Tomography,Free-form deformation,Transfer function,Artificial intelligence,Contrast medium | Conference |
Volume | ISSN | Citations |
5367 | 0277-786X | 11 |
PageRank | References | Authors |
0.68 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Vega Higuera | 1 | 74 | 7.14 |
| natascha sauber | 2 | 38 | 2.92 |
| Bernd F. Tomandl | 3 | 19 | 1.68 |
| Christopher Nimsky | 4 | 466 | 42.20 |
| Günther Greiner | 5 | 598 | 80.74 |
| Peter Hastreiter | 6 | 310 | 44.28 |