Several methods have been introduced over the years to measure CT image noise magnitudes in vivo applying different image segmentation strategies, HU thresholds, and regions of interests in which the noise is calculated. Therefore, it is impossible to directly compare results obtained with different methods and to objectively evaluate image quality in CT. This study provided an unbiased comparison of two methods to estimate noise utilizing a Virtual Imaging Trials platform simulating 1800 image datasets representing different dose levels, anatomical areas, and reconstruction techniques. Only methods that measure noise magnitude in soft tissue can effectively inform protocol design and optimization.
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