Cross-domain Denoising for Low-dose Multi-frame Spiral Computed Tomography
Y Lu, Z Xu, MH Choi, J Kim… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Computed tomography (CT) has been used worldwide as a non-invasive test to assist in
diagnosis. However, the ionizing nature of X-ray exposure raises concerns about potential …
diagnosis. However, the ionizing nature of X-ray exposure raises concerns about potential …
Multi-frame-based Cross-domain Image Denoising for Low-dose Computed Tomography
Y Lu, Z Xu, MH Choi, J Kim, SW Jung - arXiv preprint arXiv:2304.10839, 2023 - arxiv.org
Computed tomography (CT) has been used worldwide for decades as one of the most
important non-invasive tests in assisting diagnosis. However, the ionizing nature of X-ray …
important non-invasive tests in assisting diagnosis. However, the ionizing nature of X-ray …
On the benefit of dual-domain denoising in a self-supervised low-dose CT setting
Computed tomography (CT) is routinely used for three-dimensional non-invasive imaging.
Numerous data-driven image denoising algorithms were proposed to restore image quality …
Numerous data-driven image denoising algorithms were proposed to restore image quality …
[HTML][HTML] 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 …
A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction
Purpose Due to the potential risk of inducing cancer, radiation exposure by X‐ray CT
devices should be reduced for routine patient scanning. However, in low‐dose X‐ray CT …
devices should be reduced for routine patient scanning. However, in low‐dose X‐ray CT …
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 …
Framelet denoising for low-dose CT using deep learning
Recently, deep leaning algorithms have been extensively studied for low-dose X-ray
computed tomography (CT) thanks to its superior performance with very little run-time …
computed tomography (CT) thanks to its superior performance with very little run-time …
Limited parameter denoising for low‐dose X‐ray computed tomography using deep reinforcement learning
Background The use of deep learning has successfully solved several problems in the field
of medical imaging. Deep learning has been applied to the CT denoising problem …
of medical imaging. Deep learning has been applied to the CT denoising problem …
Deep convolutional framelet denosing for low-dose CT via wavelet residual network
Model-based iterative reconstruction algorithms for low-dose X-ray computed tomography
(CT) are computationally expensive. To address this problem, we recently proposed a deep …
(CT) are computationally expensive. To address this problem, we recently proposed a deep …
Benchmarking Deep Learning-Based Low Dose CT Image Denoising Algorithms
Long lasting efforts have been made to reduce radiation dose and thus the potential
radiation risk to the patient for computed tomography acquisitions without severe …
radiation risk to the patient for computed tomography acquisitions without severe …