The four-dimensional (4-D) eXtended CArdiac-Torso (XCAT) series of phantoms was
developed to provide accurate computerized models of the human anatomy and physiology …

Radiation exposure and the associated risk of cancer for patients in computed tomography
(CT) scans have been major clinical concerns. The radiation exposure can be reduced …

Deep learning (DL) techniques have expedited successful applications in computed
tomography (CT) imaging field and have obtained remarkable outcomes. Most of the …

Purpose Computed tomography (CT) is routinely used to assess suspected urolithiasis.
Information obtained from CT include presence, location and size of stones, with the latter …

With the ever‐increasing use of computed tomography (CT), concerns about its radiation
dose have become a significant public issue. To address the need for radiation dose …

Background: Methods for segmentation, ie, Full-segmentation (FS) and Segmentation-
rotation (SR), are proposed for maintaining Computed Tomography (CT) number linearity …

Background In silico testing of novel image reconstruction and quantitative algorithms
designed for interventional imaging requires realistic high‐resolution modeling of arterial …

Computerized tomography (CT) is a widely adopted modality for analyzing directly or
indirectly functional, biological and morphological processes by means of the image …

Purpose To develop and validate a computed tomography (CT) harmonization technique by
combining noise‐stabilization and autocalibration methodologies to provide reliable …

Computed tomography (CT) is a widely used imaging modality for screening and diagnosis.
However, the deleterious effects of radiation exposure inherent in CT imaging require the …