Coming soon…
With the provided fibroglandular tissue volume fraction map, users can freely build your own breast phantom by multiplying the optical properties of fibroglandular, adipose, and cancerous tissues to the volume fractions at each pixel/node.
Tissue type | HbO (μM) | HbR (μM) | μs’ (cm−1) | |
---|---|---|---|---|
at 690 nm | at 830 nm | |||
Adipose | 13.84 | 4.81 | 8.51 | 7.13 |
Fibroglandular | 18.96 | 6.47 | 9.25 | 7.75 |
Malignant | 20.60 | 6.72 | 9.57 | 8.01 |
The mesh data is in the public domain.
If you use this mesh in your publication, please cite the mesh version number to avoid conflict to any further updates of this mesh. We are also appreciated if you can cite the papers for iso2mesh or CGAL in your publication.
[Deng2015] B. Deng, D. H. Brooks, D. A. Boas, M. Lundqvist, and Q. Fang, "Characterization of structural-prior guided optical tomography using realistic breast models derived from dual-energy x-ray mammography," Biomedical Optics Express 6(7): 2366-79 (2015). doi: 10.1364/BOE.6.002366
[Fang2009] Q. Fang and D. Boas, “Tetrahedral mesh generation from volumetric binary and gray-scale images,” Proceedings of IEEE International Symposium on Biomedical Imaging 2009, 1142–1145 (2009).
[CGAL2009] L. Rineau, S. Tayeb, and M. Yvinec. 3D Mesh Generation. In CGAL Editorial Board, Ed, CGAL User and Reference Manual. 3.5 edition, 2009.