Noise reduction in CT image using prior knowledge aware iterative denoising
The clinical demand for low image noise often limits the slice thickness used in many CT
applications. However, a thick-slice image is more susceptible to longitudinal partial volume …
applications. However, a thick-slice image is more susceptible to longitudinal partial volume …
Denoising of polychromatic CT images based on their own noise properties
JH Kim, Y Chang, JB Ra - Medical Physics, 2016 - Wiley Online Library
Purpose: Because of high diagnostic accuracy and fast scan time, computed tomography
(CT) has been widely used in various clinical applications. Since the CT scan introduces …
(CT) has been widely used in various clinical applications. Since the CT scan introduces …
[HTML][HTML] Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography
To minimize radiation risk, dose reduction is important in the diagnostic and therapeutic
applications of computed tomography (CT). However, image noise degrades image quality …
applications of computed tomography (CT). However, image noise degrades image quality …
A three-dimensional denoising method for low-dose computed tomography
S Xiaobao, D Yong, D Ruizhe… - Journal of Medical …, 2017 - ingentaconnect.com
Low-dose Computed Tomography (CT) becomes an increasingly significant research object
in recent years result from the harm of radiation used in X-ray CT to health of patients …
in recent years result from the harm of radiation used in X-ray CT to health of patients …
Comparison of CT noise reduction performances with deep learning-based, conventional, and combined denoising algorithms
ZA Balogh, BJ Kis - Medical Engineering & Physics, 2022 - Elsevier
Conventional noise reduction algorithms have been used in image processing for a very
long time, but recently, deep learning-based algorithms have been shown to significantly …
long time, but recently, deep learning-based algorithms have been shown to significantly …
Low‐dose CT denoising via convolutional neural network with an observer loss function
Purpose: Convolutional neural network (CNN)‐based denoising is an effective method for
reducing complex computed tomography (CT) noise. However, the image blur induced by …
reducing complex computed tomography (CT) noise. However, the image blur induced by …
A deep learning-enabled iterative reconstruction of ultra-low-dose CT: use of synthetic sinogram-based noise simulation technique
Effective elimination of unique CT noise pattern while preserving adequate image quality is
crucial in reducing radiation dose to ultra-low-dose level in CT imaging practice. In this …
crucial in reducing radiation dose to ultra-low-dose level in CT imaging practice. In this …
Adaptively tuned iterative low dose CT image denoising
Improving image quality is a critical objective in low dose computed tomography (CT)
imaging and is the primary focus of CT image denoising. State‐of‐the‐art CT denoising …
imaging and is the primary focus of CT image denoising. State‐of‐the‐art CT denoising …
A review on CT image noise and its denoising
CT imaging is widely used in medical science over the last decades. The process of CT
image reconstruction depends on many physical measurements such as radiation dose …
image reconstruction depends on many physical measurements such as radiation dose …
Low-dose CT denoising using edge detection layer and perceptual loss
M Gholizadeh-Ansari, J Alirezaie… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Low-dose CT imaging is a valid approach to reduce patients' exposure to X-ray radiation.
However, reducing X-ray current increases noise and artifacts in the reconstructed CT …
However, reducing X-ray current increases noise and artifacts in the reconstructed CT …