MeshAgreement-package: Agreement measures for 3D meshes

In MeshAgreement: Agreement Measures for 3D Meshes

Agreement measures for 3D meshes

Description

Calculates distance-based and volume-overlap-based agreement measures for triangular 3D meshes. These include the Hausdorff distance, the average surface distance, the Dice similarity coefficient, and the Jaccard similarity coefficient as documented in Stockinger et al. (2021) <doi:10.1186/s13014-021-01965-5>. Overall agreement for a set of meshes is calculated as the aggregate agreement for all pairwise comparisons. Based on algorithms provided by the 'VCGLIB' <http://vcg.isti.cnr.it/vcglib/> and 'CGAL' <https://www.cgal.org/> libraries. Includes web-based graphical user interface.

Details

Package:	MeshAgreement
Type:	Package
Version:	0.1.4
Date:	2022-11-25
License:	GPL (>= 2)

Author(s)

Daniel Wollschlaeger and Heiko Karle

Maintainer: Daniel Wollschlaeger <[e-mail]>

References

Fotina et al. Critical discussion of evaluation parameters for inter-observer variability in target definition for radiation therapy. Strahlenther Onkol 2012; 188: 160-167.

Hanna et al. Geometrical Analysis of Radiotherapy Target Volume Delineation: a Systematic Review of Reported Comparison Methods. Clin Oncol 2010; 22, 515-525.

Heimann et al. Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans Med Imaging 2009; 28: 1251-1265.

Sherer et al. Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review. Radiother Oncol 2021; 160: 185-191.

https://www.cgal.org/

http://vcg.isti.cnr.it/vcglib/

Examples

heartL <- mesh3dL_to_cgalMeshL(data_heart_obsL)
pairL  <- get_mesh_pairs(heartL)
get_mesh_agree_pair(pairL[[1]], do_ui=FALSE)

MeshAgreement documentation built on Nov. 25, 2022, 5:05 p.m.