Purpose This study aims to evaluate the impact of key parameters on the pseudo computed
tomography (pCT) quality generated from magnetic resonance imaging (MRI) with a 3 …

Purpose Generating big-data is becoming imperative with the advent of machine learning.
RIN-Neuroimaging Network addresses this need by develo** harmonized protocols for …

Abstract Background and purpose Simultaneous Positron Emission Tomography–Magnetic
Resonance (PET-MR) imaging can potentially improve radiotherapy by enabling more …

Purpose The image quality (IQ) of mammographic images is essential when making a
diagnosis, but the quality assurance process for radiological equipment is subjective. We …

Background In recent years, there has been a growing trend towards utilizing Artificial
Intelligence (AI) and machine learning techniques in medical imaging, including for the …

The performance of magnetic resonance imaging (MRI) equipment is typically monitored
with a quality assurance (QA) program. The QA program includes various tests performed at …

Background A dual-function phantom designed to quantify the apparent diffusion coefficient
(ADC) in different fat contents (FCs) and glass bead densities (GBDs) to simulate the human …

Purpose The absence of ionizing radiation in MRI applications does not guarantee absolute
safety. Implementing of safety guidelines can ensure high-quality practice in the clinical MRI …

Objective: The purpose of this study was to develop an automated method for performing
quality control (QC) tests in magnetic resonance imaging (MRI) systems, investigate the …

Purpose Routine quarterly quality assurance (QA) assessment of single photon emission
computed tomography (SPECT) systems includes analysis of multipurpose phantoms …