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Mean attenuation values were taken as an average of the mean Hounsfield numbers over these same areas of subcutaneous fat.
The most accurate mean attenuation values for tissues around a TKR were obtained with a CT gantry using 10° to 15° anteroinferior to posterosuperior angulation.
Table 1 shows the average quantitative values for the image noise, mean attenuation values and contrast-to-noise ratio of three different reconstruction algorithms.
No significant differences were seen when comparing mean attenuation values for each method (P > 0.05 with non-overlapping 95%% CI); see Fig. 1.
Linear attenuation coefficients were 0.095 cm−1 for water and 0.026 cm−1 for the lung insert (same as the mean attenuation values derived from the low-dose CT scan used for AC of mCT data).
Objective [mean image noise, contrast-to-noise ratio (CNR) for kidney and mean attenuation values of subcutaneous fat] and subjective image parameters (image noise, image contrast, overall visibility of kidneys/ureters/bladder, visibility of small structures, and overall diagnostic confidence) were assessed using a scoring system from 1 (best) to 5 (worst).
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Additionally, the mean attenuation value of a representative spherical volume-of-interest (VOI) in the right forearm (diameter: 20 mm) was determined.
We report the mean attenuation value in the sarcoma and the relative difference of a ROI (30% of max isocontour in the sarcoma) activity values for (A -(B) in reference to (C).
The mean attenuation value in the sarcomas was 2-82-8%gher in DWFS (μ = 0.1 cm-1) compared to FullCT (μ = 0.0926-0.098 cm-1) for the voxels not considered bone.
Inside the ROI, placed in the coronal slice on the case study patient with inversion in only one leg (Figure 2 E,F,G), the mean attenuation value in the Dixon image was 10% lower in the inverted leg ROI (μ = 0.09 versus 0.1 cm−1) while the CT had the same attenuation value in both ROIs (μ = 0.099 cm−1).
The use of sharper convolution filters produces an increase in the mean attenuation value of the calcified component of plaque.
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Justyna Jupowicz-Kozak
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