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Proceedings Paper

Ray-casting method to assess the quality of segmented surfaces from 3D images
Author(s): J. P. D'Amato; M. Del Fresno; C. Garcia Bauza; M. Vénere
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Paper 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.

Paper Details

Date Published: 26 January 2017
PDF: 10 pages
Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 101600K (26 January 2017); doi: 10.1117/12.2256775
Show Author Affiliations
J. P. D'Amato, Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
CONICET (Argentina)
M. Del Fresno, Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
Comisión Nacional de Investigaciones Científicas de la Provincia Buenos Aires (Argentina)
C. Garcia Bauza, Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
CONICET (Argentina)
M. Vénere, Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)


Published in SPIE Proceedings Vol. 10160:
12th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Jorge Brieva; Ignacio Larrabide; , Editor(s)

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