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Fig. 2 | Visual Computing for Industry, Biomedicine, and Art

Fig. 2

From: Photon-counting computed tomography thermometry via material decomposition and machine learning

Fig. 2

Graphs of attenuation data of all studied materials. a Attenuation vs energy plots for water compared to NIST values (we multiply the mass attenuations by the density of water, assumed to be 1.00 g/cm3 at 33 °C). The end points of the energy bins (33, 45, 60, and 100 keV) were selected for the figure. Compton scattering of high energy photons accounts for the observed attenuation discrepancy; b-f Attenuation vs temperature plots for all materials. The positive trend in the 33-45 keV bin is due to the effects of temperature on Compton scattering at high energies. The legend indicates the slope of the regression line for the color-coded trend; g Scatterplot summary of thermal sensitivities with error bars. Observe the non-linear trend between thermal sensitivity and composition for 0, 50, 300, and 600 mmol/L solutions of CaCl2

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