https://www.selleckchem.com/products/glpg0187.html
Purpose The stoichiometric calibration method for dual-energy CT (DECT) proposed by Bourque et al. (Phys. Med. Biol. 59(8)2059, 2014), which provides estimators of the electron density and the effective atomic number, is adapted to a maximum a posteriori (MAP) framework to increase the model's robustness to noise and biases in CT data, specifically for human tissues. Robust physical parameter estimation from noisy DECT scans is required to maximize the precision of quantities used for radiotherapy treatment planning such as the proton
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