Image quality assessment (IQA) has been a topic of intense research over the last several
decades. With each year comes an increasing number of new IQA algorithms, extensions of …

Abstract Evaluation of image quality (IQ) in Computed Tomography (CT) is important to
ensure that diagnostic questions are correctly answered, whilst kee** radiation dose to …

An important need exists for strategies to perform rigorous objective clinical-task-based
evaluation of artificial intelligence (AI) algorithms for nuclear medicine. To address this need …

Image quality metrics (IQMs) such as root mean square error (RMSE) and structural
similarity index (SSIM) are commonly used in the evaluation and optimization of accelerated …

Iterative reconstruction (IR) algorithms are the most widely used CT noise-reduction method
to improve image quality and have greatly facilitated radiation dose reduction within the …

We determined contrast thresholds for lesion detection as a function of lesion size in both
mammograms and filtered noise backgrounds with the same average power spectrum …

This Special Report presents the consensus of the Summit on Management of Radiation
Dose in Computed Tomography (CT)(held in February 2011), which brought together …

A variety of deep neural network (DNN)-based image denoising methods have been
proposed for use with medical images. Traditional measures of image quality (IQ) have been …

In single photon emission computed tomography, the choice of the collimator has a major
impact on the sensitivity and resolution of the system. Traditional parallel‐hole and fan …

Image quality assessment (IQA) algorithms aim to reproduce the human's perception of the
image quality. The growing popularity of image enhancement, generation, and recovery …