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Evaluation of statistical breast phantoms with higher resolution

Publication ,  Conference
Rajagopal, J; Sturgeon, GM; Chen, XC; Sauer, TJ; Ren, Y; Segars, WP; Lo, JY
Published in: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
January 1, 2018

In previous work, we generated computational breast phantoms by using a principal component analysis (PCA) or "Eigenbreast" technique. For this study, we sought to address resolution limitations in the previous synthesized breast phantoms by analyzing new human subject data set with higher resolution. We utilize PCA to sample input breast cases, then by using weighted sums along the different eigenvectors or "eigenbreasts," a number of new cases can be generated. While breasts can vary in structure and form, we used a series of compressed breasts derived from human subject breast CT volumes to create the eigenbreasts. We used an initial set of thirty-five phantoms from a new CT patient population with 155x155x155 μm3 voxel size. The training set and synthetized phantoms were evaluated by power law exponent β and changes in volumetric breast density as a result of the PCA process. The synthetic phantoms were found to have similar β and fibroglandular density distributions to the training dataset. Individual synthetic phantoms appeared to capture glandular features present in the training phantoms but had visually different texture features. This work shows that earlier work on the eigenbreast technique can be extended to newer datasets with higher resolution and produce synthetic phantoms that retain the quantitative properties of training data.

Duke Scholars

Published In

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

DOI

ISSN

1605-7422

ISBN

9781510616356

Publication Date

January 1, 2018

Volume

10573
 

Citation

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Rajagopal, J., Sturgeon, G. M., Chen, X. C., Sauer, T. J., Ren, Y., Segars, W. P., & Lo, J. Y. (2018). Evaluation of statistical breast phantoms with higher resolution. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 10573). https://doi.org/10.1117/12.2294049
Rajagopal, J., G. M. Sturgeon, X. C. Chen, T. J. Sauer, Y. Ren, W. P. Segars, and J. Y. Lo. “Evaluation of statistical breast phantoms with higher resolution.” In Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 10573, 2018. https://doi.org/10.1117/12.2294049.
Rajagopal J, Sturgeon GM, Chen XC, Sauer TJ, Ren Y, Segars WP, et al. Evaluation of statistical breast phantoms with higher resolution. In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2018.
Rajagopal, J., et al. “Evaluation of statistical breast phantoms with higher resolution.” Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10573, 2018. Scopus, doi:10.1117/12.2294049.
Rajagopal J, Sturgeon GM, Chen XC, Sauer TJ, Ren Y, Segars WP, Lo JY. Evaluation of statistical breast phantoms with higher resolution. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2018.

Published In

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

DOI

ISSN

1605-7422

ISBN

9781510616356

Publication Date

January 1, 2018

Volume

10573