Dual-energy contrast enhanced digital mammography using a new approach for breast tissue canceling

摘要: In this study, we propose a novel approach to dual-energy contrast-enhanced digital mammography, with the development of recombination algorithm based on an image chain model and determination associated optimal low high-energy techniques. Our method produces clutter-free iodine-equivalent images includes thickness correction near breast border. After description, acquisition techniques are determined obtain compromise between quality glandular dose. The were chosen minimize dose for target Signal Difference Noise Ratio (SDNR) in recombined image. theoretical derivation iodine SDNR allowed prediction Depending percentage, low-energy kVp mAs ranged from 24kVp (Mo/Mo or Mo/Rh) 35kVp (Rh/Rh), 60 90mAs respectively, 40kVp 47kVp (Mo/Cu), 80mAs 290mAs. We proved better performance our compared classic weighted logarithmic subtraction terms patient also texture cancelation, through use artificial textured images. Values contrast measured phantom close expected thickness. Good correlation was found images, which validates optimization