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The methods were validated using the physical phantom and we found that the mean error in the measurement was less than 0.5° in each of the three co-ordinate planes.
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The main purpose of this study was to perform a direct quantitative comparison of PET performance, with main focus on PET image quality, between state-of-the art PET/CT and the later introduced PET/MR, using the same physical phantoms, same phantom preparation for image quality, identical data analysis and the same measurement protocol (NEMA NU 2-2007).
In this study, we performed the regression analysis using the NEMA IQ phantom data described in the Physical phantom section.
In addition, 4D on-board treatment dose accumulations were performed using 4D-CBCT images estimated by MM-FD in the physical phantom study.
The effect of contrast and number of emission counts was similar to the physical phantom.
Adding an extra small sphere (7 mm) to the phantom decreased the accuracy for delineating small spheres for all methods with respect to the physical phantom.
In addition to the physical phantom, three different synthetic phantoms were designed to evaluate the performance of the automated PET delineation methods with more complex lesion shapes.
The machine was daily calibrated with the physical phantom provided by the manufacturer.
The algorithm was evaluated using simulated phantom, physical phantom and pre-clinical EPRI data.
In the study by Verberne et al. [7], they used a physical phantom that included a dynamic heart model able to define different ESV, EDV, and heart wall thickness but the phantom could not mimic physical properties such as heart motion due to breathing.
They used a physical phantom [8], which had a dynamic heart and modifiable ESV and EDV.
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