DigiBreast

Version 1

  • Release Date: 06/20/2015
  • Created by: Bin Deng <bdeng1 at nmr.mgh.harvard.edu>, Qianqian Fang <fangq at nmr.mgh.harvard.edu>
  • License: This realistic digital breast phantom is released in the public domain, feel free to use for any purposes

1. Download
2. Introduction
3. What's in the package
4. Tissue optical properties
5. Footnote
6. Reference

1. Download

Coming soon…

2. Introduction

3. What's in the package

digibreast_mammo.mat
Original 2D mammogram from an anonymized healthy volunteer. Pixel size: 0.05 mm.
digibreast_glandularity.mat
Down-sampled (1 mm) fibroglandular tissue volume fraction map.

4. Tissue optical properties

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

5. Footnote

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.

6. Reference

[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.

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