Dataset of patient-derived 3D digital breast phantoms for research in breast computed tomography

The dataset includes computational digital breast phantoms derived from high-resolution 3D clinical breast images for the use in virtual clinical trials in 3D X-ray breast imaging. Uncompressed computational breast phantoms for investigations in dedicated breast CT (BCT) were derived from 150 clinical 3D breast images acquired via a dedicated CT scanner at UC Davis (California, USA). All patient studies were performed according to protocols approved by the UC Davis institutional review board and Radiation Use Committee; informed consent was obtained. Each image voxel was classified in one out of the four main materials presented in the field of view: fibro-glandular tissue, adipose tissue, skin tissue and air. Each of the classified materials is represented by one out of four values: 0 for the air, 1 for the adipose tissue, 2 for the glandular tissue and 3 for the skin tissue. For the image classification, a semi-automatic software was adopted.