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Quantitative volumetric breast density estimation using phase contrast mammography.
Wang, Zhentian; Hauser, Nik; Kubik-Huch, Rahel A; D'Isidoro, Fabio; Stampanoni, Marco.
Affiliation
  • Wang Z; Swiss Light Source, Paul Scherrer Institut, 5232 Villigen, Switzerland. Institute for Biomedical Engineering, University and ETH Zürich, 8092 Zürich, Switzerland.
Phys Med Biol ; 60(10): 4123-35, 2015 May 21.
Article in En | MEDLINE | ID: mdl-25933258
ABSTRACT
Phase contrast mammography using a grating interferometer is an emerging technology for breast imaging. It provides complementary information to the conventional absorption-based methods. Additional diagnostic values could be further obtained by retrieving quantitative information from the three physical signals (absorption, differential phase and small-angle scattering) yielded simultaneously. We report a non-parametric quantitative volumetric breast density estimation method by exploiting the ratio (dubbed the R value) of the absorption signal to the small-angle scattering signal. The R value is used to determine breast composition and the volumetric breast density (VBD) of the whole breast is obtained analytically by deducing the relationship between the R value and the pixel-wise breast density. The proposed method is tested by a phantom study and a group of 27 mastectomy samples. In the clinical evaluation, the estimated VBD values from both cranio-caudal (CC) and anterior-posterior (AP) views are compared with the ACR scores given by radiologists to the pre-surgical mammograms. The results show that the estimated VBD results using the proposed method are consistent with the pre-surgical ACR scores, indicating the effectiveness of this method in breast density estimation. A positive correlation is found between the estimated VBD and the diagnostic ACR score for both the CC view (p = 0.033) and AP view (p = 0.001). A linear regression between the results of the CC view and AP view showed a correlation coefficient γ = 0.77, which indicates the robustness of the proposed method and the quantitative character of the additional information obtained with our approach.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Breast Neoplasms / Mammography / Image Interpretation, Computer-Assisted / Mammary Glands, Human Limits: Female / Humans Language: En Journal: Phys Med Biol Year: 2015 Document type: Article Affiliation country: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Breast Neoplasms / Mammography / Image Interpretation, Computer-Assisted / Mammary Glands, Human Limits: Female / Humans Language: En Journal: Phys Med Biol Year: 2015 Document type: Article Affiliation country: Switzerland