Radiation dose from CT scans is an increasing health concern in the practice of radiology.
Higher dose scans can produce clearer images with high diagnostic quality, but may …

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 …

Due to the rapid increase in use of CT imaging and the recently-heightened awareness of
radiation-induced cancer, improving the diagnostic quality of low dose CT has become …

Computed tomography (CT) delivers a dose of radiation to the patient, presenting an
important risk. However, reducing the radiation dose can introduce noise into CT images. To …

Low-dose computed tomography (LDCT) can effectively reduce radiation exposure in
patients. However, with such dose reductions, large increases in speckled noise and streak …

Low-dose computed tomography (LDCT) has attracted significant attention in the domain of
medical imaging due to the inherent risks of normal-dose computed tomography (NDCT) …

Purpose Low‐dose CT (LDCT) technique can reduce the x‐ray radiation exposure to
patients at the cost of degraded images with severe noise and artifacts. Non‐local means …

The never-ending quest for lower radiation exposure is a major challenge to the image
quality of advanced CT scans. Post-processing algorithms have been recently proposed to …

Optimal noise control is important for improving image quality and reducing radiation dose in
computed tomography. Here we investigated two image space based nonlinear filters for …

The aim of this study was to evaluate the application feasibility of the nonlocal means (NLM)
noise reduction algorithm in low-dose computed tomography (CT) images using an …