Domain progressive 3D residual convolution network to improve low-dose CT imaging
The wide applications of X-ray computed tomography (CT) bring low-dose CT (LDCT) into a
clinical prerequisite, but reducing the radiation exposure in CT often leads to significantly …
clinical prerequisite, but reducing the radiation exposure in CT often leads to significantly …
Hybrid-domain neural network processing for sparse-view CT reconstruction
X-ray computed tomography (CT) is one of the most widely used tools in medical imaging,
industrial nondestructive testing, lesion detection, and other applications. However …
industrial nondestructive testing, lesion detection, and other applications. However …
A simple low-dose x-ray CT simulation from high-dose scan
Low-dose X-ray computed tomography (CT) simulation from a high-dose scan is required in
optimizing radiation dose to patients. In this paper, we propose a simple low-dose CT …
optimizing radiation dose to patients. In this paper, we propose a simple low-dose CT …
Ultra‐low‐dose CT image denoising using modified BM3D scheme tailored to data statistics
T Zhao, J Hoffman, M McNitt‐Gray, D Ruan - Medical physics, 2019 - Wiley Online Library
Purpose It is important to enhance image quality for low‐dose CT acquisitions to push the
ALARA boundary. Current state‐of‐the‐art block‐matching three‐dimensional (BM3D) …
ALARA boundary. Current state‐of‐the‐art block‐matching three‐dimensional (BM3D) …
Uncertainty estimation in medical image denoising with bayesian deep image prior
Uncertainty quantification in inverse medical imaging tasks with deep learning has received
little attention. However, deep models trained on large data sets tend to hallucinate and …
little attention. However, deep models trained on large data sets tend to hallucinate and …
Dual-domain attention-guided convolutional neural network for low-dose cone-beam computed tomography reconstruction
Excessive ionizing radiation in cone-beam computed tomography (CBCT) causes damage
to patients, whereas a low radiation dose degrades the imaging quality. To improve the …
to patients, whereas a low radiation dose degrades the imaging quality. To improve the …
Deep iterative reconstruction estimation (DIRE): approximate iterative reconstruction estimation for low dose CT imaging
J Liu, Y Zhang, Q Zhao, T Lv, W Wu, N Cai… - Physics in Medicine …, 2019 - iopscience.iop.org
The image quality in low dose computed tomography (LDCT) can be severely degraded by
amplified mottle noise and streak artifacts. Although the iterative reconstruction (IR) …
amplified mottle noise and streak artifacts. Although the iterative reconstruction (IR) …
A convolutional neural network for ultra‐low‐dose CT denoising and emphysema screening
T Zhao, M McNitt‐Gray, D Ruan - Medical Physics, 2019 - Wiley Online Library
Purpose Reducing dose level to achieve ALARA is an important task in diagnostic and
therapeutic applications of computed tomography (CT) imaging. Effective image quality …
therapeutic applications of computed tomography (CT) imaging. Effective image quality …
Variability in CT lung‐nodule quantification: effects of dose reduction and reconstruction methods on density and texture based features
Purpose: To investigate the effects of dose level and reconstruction method on density and
texture based features computed from CT lung nodules. Methods: This study had two major …
texture based features computed from CT lung nodules. Methods: This study had two major …
Deep residual constrained reconstruction via learned convolutional sparse coding for low-dose CT imaging
Low-dose computed tomography (LDCT) holds great potential to reduce radiation dose
damage. However, LDCT degrades the signal-to-noise ratio (SNR) of projection and …
damage. However, LDCT degrades the signal-to-noise ratio (SNR) of projection and …