Univ. Grenoble-Alpes, Grenoble, France, CEA, LETI, Minatec Campus, Grenoble, France, Univ. Grenoble-Alpes, Gipsa-Lab, Grenoble, France

X-ray diffraction (XRD) is a powerful technique used to determine the molecular structure of biological tissues. In breast tissues for example, the scattering signatures of dense fibroglandular tissue and carcinoma have been shown to be significantly different. In this study, XRD was used as a second control level when conventional mammography results were unclear, for instance because of overly high breast density. A system optimized for this issue, called multifocal XRD, was developed combining energy dispersive spectral information at different scattering angles. This system allows depth-imaging in one go but needs an x,y-direction scan to image the region conventional mammography identified as suspect. The scan-time for about 10 cm3 with an incident flux of about 4.8·107 photons per second would be around 2 s. For this study, breast phantoms with and without cancerous nodule were simulated to assess the separation power of the method and to determine the radiation dose required to obtain nearly ideal separation. For tumors situated in the center of the breast, the required dose was only about 0.3 mGy, even for breasts with high density. The tumor position was shown to have a low impact on detectability provided it remained in a zone where the system was sufficiently sensitive. The influence of incident spectrum maximum energy was also studied. The required dose remained very low with any of the incident spectra tested. Finally, an image slice was reconstructed in the x-direction and showed that the system can detect the presence of a small tumor (4 mm). Hence, XRD is a very promising tool to reduce the number of unnecessary invasive breast biopsies. © 2017 Elsevier B.V.

Breast cancer, Breast phantom simulation, Depth imaging, Radiation dose, Reconstruction, System optimization, X-ray scattering

Biopsy, Dosimetry, Histology, Image processing, Image reconstruction, Tissue, Tumors, X ray diffraction, X ray scattering, Breast Cancer, Breast phantom, Breast tumor detection, Depth imaging, Fibroglandular tissue, Scattering signatures, System optimizations, X-ray diffraction system, Medical imaging