Abstract Purpose of Review Deep Learning reconstruction (DLR) is the current state-of-the-
art method for CT image formation. Comparisons to existing filter back-projection, iterative …

B. Kelly Han a,*, Cynthia K. Rigsby b, Jonathon Leipsic c, Dianna Bardo d, Suhny Abbara e,
Brian Ghoshhajra f, John R. Lesser g, Subha V. Raman h, Andrew M. Crean i, Edward D …

Purpose To assess the dose performance in terms of image quality of filtered back projection
(FBP) and two generations of iterative reconstruction (IR) algorithms developed by the most …

OBJECTIVE. The purpose of this study was to assess image noise, spatial resolution, lesion
detectability, and the dose reduction potential of a proprietary third-generation adaptive …

OBJECTIVE. This article discusses the clinical challenge of low-radiation-dose
examinations, the commonly used approaches for dose optimization, and their effect on …

Purpose To assess the noise characteristics of the new adaptive statistical iterative
reconstruction (ASiR‐V) in comparison to ASiR. Methods A water phantom was acquired …

Background Iterative reconstruction techniques for reducing radiation dose and improving
image quality in CT have proved to work differently for different patient sizes, dose levels …

Objectives To evaluate the impact of model-based iterative reconstruction (MBIR) on image
quality and low-contrast lesion detection compared with filtered back projection (FBP) in …

Purpose To compare the diagnostic accuracy and image quality of computed tomographic
(CT) enterographic images obtained at half dose and reconstructed with filtered back …

Congenital heart diseases affect 1% of all live births in the general population. The
prognosis of these children is increasingly improving due to advances in medical care and …