Ray-casting method to assess the quality of segmented surfaces from 3D images

J. P. D'Amato; M. Del Fresno; C. Garcia Bauza; M. Vénere

doi:10.1117/12.2256775

26 January 2017 Ray-casting method to assess the quality of segmented surfaces from 3D images

J. P. D'Amato, M. Del Fresno, C. Garcia Bauza, M. Vénere

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.

Citation Download Citation

J. P. D'Amato, M. Del Fresno, C. Garcia Bauza, and 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); https://doi.org/10.1117/12.2256775

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