X-ray image denoising with fast non-local means (FNLM) approach using acceleration function in CdTe semiconductor photon counting detector (PCD): Monte Carlo …

Y Lee - Optik, 2018 - Elsevier
The noise reduction algorithms have been widely used in the field of medical X-ray imaging
system using semiconductor photon counting detector (PCD). Among these algorithms, fast …

Performance evaluation of patch group-based denoising algorithm using prior learning stage with K-edge imaging technique in CdTe photon counting spectral X-ray …

Y Lee - Optik, 2018 - Elsevier
Photon counting spectral X-ray imaging system has many advantages compared with the
conventional energy integrated X-ray imaging system. The photon counting room …

Experimental study of the fast non-local means noise reduction algorithm using the Hoffman 3D brain phantom in nuclear medicine SPECT image

MY Jang, CR Park, SH Kang, Y Lee - Optik, 2020 - Elsevier
Gamma imaging of the brain in nuclear medicine usually contains a noise distribution owing
to attenuation and scattering effects. This study aimed at improving the quality of the image …

The impact of improved non-local means denoising algorithm on photon-counting X-ray images using various Al additive filtrations

S Lee, Y Lee - Nuclear Instruments and Methods in Physics Research …, 2022 - Elsevier
The filters used in X-ray systems affect the image quality and radiation dose. Although using
filters has advantages in terms of image quality and dose, image noise increases because …

Feasibility of newly designed fast non local means (FNLM)-based noise reduction filter for X-ray imaging: A simulation study

J Shim, M Yoon, Y Lee - Optik, 2018 - Elsevier
In the diagnostic radiology field, reducing the radiation dose for patient lead to increased
noise in image. Since increases of noise decrease the diagnosis rate, to reduce the noise is …

[PDF][PDF] Poisson noise reduction with nonlocal-pca hybrid model in medical x-ray images

D Kipele, KA Greyson - Journal of Image and Graphics, 2023 - researchgate.net
The presence of Poisson noise in medical X-ray images leads to degradation of the image
quality. The obscured information is required for accurate diagnosis. During X-ray image …

Optimization Method to Predict Optimal Noise Reduction Parameters for the Non-Local Means Algorithm Based on the Scintillator Thickness in Radiography

BK Cha, KH Lee, Y Lee, K Kim - Sensors, 2023 - mdpi.com
The resulting image obtained from an X-ray imaging system depends significantly on the
characteristics of the detector. In particular, when an X-ray image is acquired by thinning the …

Total variation combining nonlocal means filtration for image reconstruction in X-ray computed tomography

A Cai, Y Wang, X Zhong, X Yu, Z Zheng… - Journal of X-ray …, 2022 - content.iospress.com
BACKGROUND: Image reconstruction for realistic medical images under incomplete
observation is still one of the core tasks for computed tomography (CT). However, the stair …

[HTML][HTML] Experimental study of noise level optimization in brain single-photon emission computed tomography images using non-local means approach with various …

SH Kang, S Lee, Y Lee - Nuclear Engineering and Technology, 2023 - Elsevier
The noise reduction algorithm using the non-local means (NLM) approach is very efficient in
nuclear medicine imaging. In this study, the applicability of the NLM noise reduction …

Noise level and similarity evaluations of non-local means algorithm in chest digital tomosynthesis X-ray imaging system: An experimental study

JK Park, SH Kang, M Park, D Lee, K Kim… - Nuclear Instruments and …, 2022 - Elsevier
As a method for diagnosing chest lesions, a chest digital tomosynthesis (CDT) X-ray imaging
system based on projection data using a limited angle has been widely used in the medical …