TY - GEN
T1 - Virtual clinical trials in 3D and 2D breast imaging with digital phantoms derived from clinical breast CT scans
AU - Mettivier, Giovanni
AU - Sarno, Antonio
AU - Boone, John M.
AU - Bliznakova, Kristina
AU - di Franco, Francesca
AU - Russo, Paolo
PY - 2020
Y1 - 2020
N2 - 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 in-silico FFDM, DBT and BCT examinations.
AB - 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 in-silico FFDM, DBT and BCT examinations.
KW - Monte Carlo simulation
KW - Patien-derived breast phantoms
KW - Virtual Clinical trials
KW - X-ray breast imaging
UR - http://www.scopus.com/inward/record.url?scp=85085334215&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85085334215&partnerID=8YFLogxK
U2 - 10.1117/12.2548224
DO - 10.1117/12.2548224
M3 - Conference contribution
AN - SCOPUS:85085334215
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2020
A2 - Chen, Guang-Hong
A2 - Bosmans, Hilde
PB - SPIE
T2 - Medical Imaging 2020: Physics of Medical Imaging
Y2 - 16 February 2020 through 19 February 2020
ER -