ABSTRACT
With the advancement of tomosynthesis research, many medical imaging manufacturers are actively engaged in designing digital tomosynthesis prototype. Manufacturers are eager to optimize their designs to improve their images. Although the conventional physical measurement techniques of image quality metrics such as linearity, signal-to-noise ratio, modulation transfer function (MTF), and noise power spectrum (NPS) (Dobbins 2000, Godfrey et al. 2006) can be applied to characterize the tomosynthesis image, it is urgent and essential to develop the
appropriate strategies to compare and optimize tomosynthesis systems and image reconstruction algorithms.
