Using a Mask to Decrease Computation Time for SpatialObject to Image Conversions
Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/272
New: Prefer using the following doi: https://doi.org/10.54294/y7rwlw
This article presents an approach for decreasing the computational time for converting a sparse SpatialObject to an Image. The method is applicable for SpatialObjects which occupy less volume than the total output Image (which occurs often, especially when using TubeSpatialObjects to represent vessels). A new filter MaskedSpatialObjectToImageFilter is introduced which dramatically decreases the execution time by creating a mask of relevant pixels. The mask is computed by calling the conventional SpatialObjectToImageFilter at a lower resolution, which is significantly faster for large images. The mask is then up-sampled to control which areas are further processed.