Output-Sensitive Filtering of Streaming Volume Data.

ABSTRACT: Real-time volume data acquisition poses substantial challenges for the traditional visualization pipeline where data enhancement is typically seen as a pre-processing step. In the case of 4D ultrasound data, for instance, costly processing operations to reduce noise and to remove artefacts need to be executed for every frame. To enable the use of high-quality filtering operations in such scenarios, we propose an output-sensitive approach to the visualization of streaming volume data. Our method evaluates the potential contribution of all voxels to the final image, allowing us to skip expensive processing operations that have little or no effect on the visualization. As filtering operations modify the data values which may affect the visibility, our main contribution is a fast scheme to pre

SUBMITTER: Solteszova V 

PROVIDER: S-EPMC5349295 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature