A team of bioengineers at Rensselaer Polytechnic Institute (RPI), with funding from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), have developed an artificial intelligence ...

AI for Quality and Efficiency in Radiology Artificial intelligence (AI) is increasingly being leveraged in radiology to enhance image quality and streamline operations. In busy CT and MRI departments, ...

CT images of the chest and abdomen produced using low-dose AI reconstruction, low-dose conventional iterative reconstruction and normal-dose CT. (Courtesy: the Ge Wang group at RPI; the Mannudeep ...

OTAWARA, Japan--(BUSINESS WIRE)--Canon Medical is breaking ground once again with the introduction of Precise IQ Engine (PIQE) DLR and SilverBeam filter in the latest version of the Aquilion ONE / ...

Many people have experienced a scan in the nuclear medicine department of a hospital or clinic. It may seem a straightforward procedure for the patient, but the technology involved is a complex ...

Deep learning–based reconstruction (DLR) significantly improved image quality in temporal bone ultrahigh-resolution CT (UHR-CT) for both adult and paediatric protocols, reducing noise and enhancing ...

The DirectDensity algorithm from Siemens Healthineers gives radiation oncologists and medical physicists ready access to CT images optimized for both patient contouring and dose calculation Clinical ...

In 2012, the IAEA published a technical report for establishment and implementation of quality assurance programmes in CT: IAEA Human Health Series No. 19. The report provides guidance on quality ...

In certain cases, a new method can provide as much information from brain images taken with computed tomography (CT) as images captured with magnetic resonance imaging (MRI). The method, presented in ...

Epidemiology of Childhood Cancer in Indonesia: Study of 14 Population Based Cancer Registries This is an ASCO Meeting Abstract from the 2018 World Cancer Congress Abstracts. This abstract does not ...