Medical imaging, which empowers the detection of physiological and pathological
processes within living subjects, has a vital role in both preclinical and clinical diagnostics …

Understanding the complicated interplay of the continuously evolving electrode materials in
their inherent 3D states during the battery operating condition is of great importance for …

Conventional reconstruction techniques, such as filtered back projection (FBP) and iterative
reconstruction (IR), which have been utilised widely in the image reconstruction process of …

Artificial intelligence (AI) in medicine has gained a lot of momentum in the last decades and
has been applied to various fields of medicine. Advances in computer science, medical …

Objective To determine the difference in CT values and image quality of abdominal CT
images reconstructed by filtered back-projection (FBP), hybrid iterative reconstruction (IR) …

Abstract Background Artificial Intelligence (AI) technologies have already started impacting
clinical practice across various settings worldwide, including the radiography profession …

Computed tomography (CT) is a non-invasive testing technique to generate the internal
image of any object. It has various applications belonging to medical imaging and other …

Purpose To compare the image quality between a deep learning–based image
reconstruction algorithm (DLIR) and an adaptive statistical iterative reconstruction algorithm …

X‐ray tomography is a versatile tool in materials research and engineering since it allows for
a non‐destructive and three‐dimensional mapping of the constituents of a heterogeneous …

In oncology practice, the CT component of PET/CT may be used for attenuation correction,
lesion localization, and CT diagnosis, and significantly enhances the clinical benefit of PET …