Virtual clinical trials in 3D and 2D breast imaging with digital phantoms derived from clinical breast CT scans

Giovanni Mettivier; Antonio Sarno; John M. Boone; Kristina Bliznakova; Francesca di Franco; Paolo Russo

doi:10.1117/12.2548224

16 March 2020 Virtual clinical trials in 3D and 2D breast imaging with digital phantoms derived from clinical breast CT scans

Giovanni Mettivier, Antonio Sarno, John M. Boone, Kristina Bliznakova, Francesca di Franco, Paolo Russo

Author Affiliations +

Proceedings Volume 11312, Medical Imaging 2020: Physics of Medical Imaging; 1131259 (2020) https://doi.org/10.1117/12.2548224
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

We are developing a platform for virtual (in silico) clinical trials in x-ray breast imaging and dosimetry fully based on Monte Carlo simulations and which adopts patient-like digital phantoms. We report the initial steps and first results of this project. Our collaboration was established for producing a “user-friendly” computational platform which reproduces both 2D (full-fields digital mammography) and 3D (digital breast tomosynthesis, CT dedicated to the breast) breast imaging examinations for technique optimization and for developing protocols and computed aided diagnostic applications. Dose optimization strategies and technique performance comparisons will be explored. A dataset of anatomically realistic, 2D and 3D digital breast phantoms have been produced by means of voxel classification and digital compression of clinical breast CT scans acquired at UC Davis. Monte Carlo simulations, based on the Geant4 toolkit, have been developed for insilico FFDM, DBT and BCT examinations.

Citation Download Citation

Giovanni Mettivier, Antonio Sarno, John M. Boone, Kristina Bliznakova, Francesca di Franco, and Paolo Russo "Virtual clinical trials in 3D and 2D breast imaging with digital phantoms derived from clinical breast CT scans", Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 1131259 (16 March 2020); https://doi.org/10.1117/12.2548224

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