Wesarg, Stefan ; Kirschner, Matthias (2009)
3D Visualization of Medical Image Data Employing 2D Histograms.
Proceedings Second International Conference in Visualisation. VIZ 2009.
Conference or Workshop Item, Bibliographie
Abstract
Transfer functions (TF) are a means for improving the visualization of 3D medical image data. If in addition to intensity another property is employed, two-dimensional TFs can be specified. For this, 2D histograms are helpful. In this work we investigate how the property feature size can be used for the definition of 2D TFs and the visualization of medical image data. Furthermore, we compare this method to approaches that employ gradient magnitude as second property. From our experiments with several medical image data we conclude, that structure size enhanced 2D histograms are more intuitive. This is especially true in the clinical area, where physicians are much more familiar with the meaning of the size of anatomical structures than with the concept of gradient magnitude.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2009 |
| Creators: | Wesarg, Stefan ; Kirschner, Matthias |
| Type of entry: | Bibliographie |
| Title: | 3D Visualization of Medical Image Data Employing 2D Histograms |
| Language: | English |
| Date: | 2009 |
| Publisher: | IEEE Computer Society Conference Publishing Services (CPS), Los Alamitos, Calif. |
| Event Title: | Proceedings Second International Conference in Visualisation. VIZ 2009 |
| Abstract: | Transfer functions (TF) are a means for improving the visualization of 3D medical image data. If in addition to intensity another property is employed, two-dimensional TFs can be specified. For this, 2D histograms are helpful. In this work we investigate how the property feature size can be used for the definition of 2D TFs and the visualization of medical image data. Furthermore, we compare this method to approaches that employ gradient magnitude as second property. From our experiments with several medical image data we conclude, that structure size enhanced 2D histograms are more intuitive. This is especially true in the clinical area, where physicians are much more familiar with the meaning of the size of anatomical structures than with the concept of gradient magnitude. |
| Uncontrolled Keywords: | Forschungsgruppe Medical Computing (MECO), Volume rendering, Transfer functions, Histograms |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
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