Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography
K Usui, K Ogawa, M Goto, Y Sakano… - Visual Computing for …, 2021 - Springer
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 …
Ultralow‐parameter denoising: trainable bilateral filter layers in computed tomography
Background Computed tomography (CT) is widely used as an imaging tool to visualize three‐
dimensional structures with expressive bone‐soft tissue contrast. However, CT resolution …
dimensional structures with expressive bone‐soft tissue contrast. However, CT resolution …
A spectral CT denoising algorithm based on weighted block matching 3D filtering
In spectral CT, an energy-resolving detector is capable of counting the number of received
photons in different energy channels with appropriate post-processing steps. Because the …
photons in different energy channels with appropriate post-processing steps. Because the …
An unsupervised two‐step training framework for low‐dose computed tomography denoising
W Kim, J Lee, JH Choi - Medical Physics, 2024 - Wiley Online Library
Background Although low‐dose computed tomography (CT) imaging has been more widely
adopted in clinical practice to reduce radiation exposure to patients, the reconstructed CT …
adopted in clinical practice to reduce radiation exposure to patients, the reconstructed CT …
Sharpness-aware low-dose CT denoising using conditional generative adversarial network
Low-dose computed tomography (LDCT) has offered tremendous benefits in radiation-
restricted applications, but the quantum noise as resulted by the insufficient number of …
restricted applications, but the quantum noise as resulted by the insufficient number of …
Low-dose CT image denoising using parallel-clone networks
Deep neural networks have a great potential to improve image denoising in low-dose
computed tomography (LDCT). Popular ways to increase the network capacity include …
computed tomography (LDCT). Popular ways to increase the network capacity include …
PIMA-CT: Physical Model-Aware Cyclic Simulation and Denoising for Ultra-Low-Dose CT Restoration
A body of studies has proposed to obtain high-quality images from low-dose and noisy
Computed Tomography (CT) scans for radiation reduction. However, these studies are …
Computed Tomography (CT) scans for radiation reduction. However, these studies are …
Self supervised low dose computed tomography image denoising using invertible network exploiting inter slice congruence
S Bera, PK Biswas - Proceedings of the IEEE/CVF winter …, 2023 - openaccess.thecvf.com
The resurgence of deep neural networks has created an alternative pathway for low-dose
computed tomography denoising by learning a nonlinear transformation function between …
computed tomography denoising by learning a nonlinear transformation function between …
Low-dose CT denoising via sinogram inner-structure transformer
Low-Dose Computed Tomography (LDCT) technique, which reduces the radiation harm to
human bodies, is now attracting increasing interest in the medical imaging field. As the …
human bodies, is now attracting increasing interest in the medical imaging field. As the …
Inter-slice consistency for unpaired low-dose CT denoising using boosted contrastive learning
The research field of low-dose computed tomography (LDCT) denoising is primarily
dominated by supervised learning-based approaches, which necessitate the accurate …
dominated by supervised learning-based approaches, which necessitate the accurate …