RAY-CASTING METHOD TO ASSESS THE QUALITY OF SEGMENTED SURFACES FROM 3D IMAGES

被引：0
|
作者：
D'Amato, J. P. [1 ,2 ]
Del Fresno, M. [1 ,3 ]
Garcia Bauza, C. [1 ,2 ]
Venere, M. [1 ]
机构：
[1] Univ Nacl Ctr Prov Buenos Aires, Inst Pladema, Campus Univ S-N, RA-7000 Tandil, Argentina
[2] Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina
[3] Comis Nacl Invest Cient Prov Bs As CICPBA, La Plata, Buenos Aires, Argentina
来源：
12TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS | 2017年 / 10160卷
关键词：
image segmentation; error estimation; volume calculation;
D O I：
10.1117/12.2256775
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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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页数：10
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