26 January 2017 Ray-casting method to assess the quality of segmented surfaces from 3D images
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Proceedings Volume 10160, 12th International Symposium on Medical Information Processing and Analysis; 101600K (2017) https://doi.org/10.1117/12.2256775
Event: 12th International Symposium on Medical Information Processing and Analysis, 2016, Tandil, Argentina
Abstract
A novel algorithm to evaluate the quality of surface segmentations extracted from 3D images is presented. The procedure calculates the volume enclosed between the segmented object represented by a triangular mesh and a reference one. The indicator is computed by means of a robust and efficient ray-tracing algorithm. This algorithm is fully parallelizable, and it can run even on GPUs architectures. The method is validated against synthetic cases and segmentations of real medical images.
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J. P. D'Amato, M. Del Fresno, C. Garcia Bauza, M. Vénere, "Ray-casting method to assess the quality of segmented surfaces from 3D images", Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 101600K (26 January 2017); doi: 10.1117/12.2256775; https://doi.org/10.1117/12.2256775
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