Purpose: To develop and evaluate an image‐domain noise reduction method based on a
modified nonlocal means (NLM) algorithm that is adaptive to local noise level of CT images …

Low-dose computed tomography (CT) imaging without sacrifice of clinical tasks is desirable
due to the growing concerns about excessive radiation exposure to the patients. One …

Low‐dose X‐ray computed tomography (LDCT) imaging is highly recommended for use in
the clinic because of growing concerns over excessive radiation exposure. However, the CT …

Goal: Spectral computed tomography (SCT) images reconstructed by an analytical approach
often suffer from a poor signal-to-noise ratio and strong streak artifacts when sufficient …

Purpose: To investigate a novel locally adaptive projection space denoising algorithm for
low‐dose CT data. Methods: The denoising algorithm is based on bilateral filtering, which …

Low-dose CT (computed tomography) sinogram data have been shown to be signal-
dependent with an analytical relationship between the sample mean and sample variance …

Purpose Nonlocal mean (NLM) filtering proved to be an effective tool for noise reduction in
natural and medical imaging. The technique relies on existing redundant information in the …

Objectives Non-local mean (NLM) filtering has been broadly used for denoising of natural
and medical images. The NLM filter relies on the redundant information, in the form of …

The impact of radiation dose is directly related to the quality of computed tomography (CT)
images. Low‐dose CT images are degraded with the noise and other factors. Noise …

Purpose: To adapt the so‐called nonlocal means filter to deal with magnetic resonance (MR)
images with spatially varying noise levels (for both Gaussian and Rician distributed noise) …