Artifact correction in low‐dose dental CT imaging using Wasserstein generative adversarial networks
Purpose In recent years, health risks concerning high‐dose x‐ray radiation have become a
major concern in dental computed tomography (CT) examinations. Therefore, adopting low …
major concern in dental computed tomography (CT) examinations. Therefore, adopting low …
Deep cascade residual networks (DCRNs): optimizing an encoder–decoder convolutional neural network for low-dose CT imaging
To suppress noise and artifacts caused by the reduced radiation exposure in low-dose
computed tomography, several deep learning (DL)-based image restoration methods have …
computed tomography, several deep learning (DL)-based image restoration methods have …
Segmentation-guided denoising network for low-dose CT imaging
Z Huang, Z Liu, P He, Y Ren, S Li, Y Lei, D Luo… - Computer Methods and …, 2022 - Elsevier
Background: To reduce radiation exposure and improve diagnosis in low-dose computed
tomography, several deep learning (DL)-based image denoising methods have been …
tomography, several deep learning (DL)-based image denoising methods have been …
Learning a deep CNN denoising approach using anatomical prior information implemented with attention mechanism for low-dose CT imaging on clinical patient data …
Z Huang, X Liu, R Wang, Z Chen… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Dose reduction in computed tomography (CT) has gained considerable attention in clinical
applications because it decreases radiation risks. However, a lower dose generates noise in …
applications because it decreases radiation risks. However, a lower dose generates noise in …
[HTML][HTML] A geometric calibration method for the digital chest tomosynthesis with dual-axis scanning geometry
CH Chang, YC Ni, SY Huang, HH Hsieh, SP Tseng… - PLoS …, 2019 - journals.plos.org
The aim of this study was to develop a geometric calibration method capable of eliminating
the reconstruction artifacts of geometric misalignments in a tomosynthesis prototype with …
the reconstruction artifacts of geometric misalignments in a tomosynthesis prototype with …
[HTML][HTML] A two-stage deep-learning framework for CT denoising based on a clinically structure-unaligned paired data set
R Hu, Y Xie, L Zhang, L Liu, H Luo, R Wu… - … Imaging in Medicine …, 2024 - ncbi.nlm.nih.gov
Background In low-dose computed tomography (LDCT) lung cancer screening, soft tissue is
hardly appreciable due to high noise levels. While deep learning-based LDCT denoising …
hardly appreciable due to high noise levels. While deep learning-based LDCT denoising …
[HTML][HTML] Online calibration of a linear micro tomosynthesis scanner
P Bahar, D Nguyen, M Wang, D Mazilu, EE Bennett… - Journal of …, 2022 - mdpi.com
In a linear tomosynthesis scanner designed for imaging histologic samples of several
centimeters size at 10 µm resolution, the mechanical instability of the scanning stage (±10 …
centimeters size at 10 µm resolution, the mechanical instability of the scanning stage (±10 …
[HTML][HTML] Online geometric calibration of a hybrid CT system for ultrahigh-resolution imaging
A hybrid imaging system consisting of a standard computed tomography (CT) scanner and a
low-profile photon-counting detector insert in contact with the patient's body has been used …
low-profile photon-counting detector insert in contact with the patient's body has been used …
Evaluation of reconstruction algorithms for a stationary digital breast tomosynthesis system using a carbon nanotube X-ray source array
Breast cancer is the most frequently diagnosed cancer in women worldwide. Digital breast
tomosynthesis (DBT), which is based on limited-angle tomography, was developed to solve …
tomosynthesis (DBT), which is based on limited-angle tomography, was developed to solve …
Stråldosreducering med hjälp av artificiell intelligens vid datortomografiundersökningar: En litteraturöversikt
AK Järnkärna - 2021 - diva-portal.org
Introduktion: Datortomografi är en effektiv och snabb undersökningsmetod och skapar en
detaljrikbild. Antal datortomografi undersökningar ökar varje år och relativt högstråldoser …
detaljrikbild. Antal datortomografi undersökningar ökar varje år och relativt högstråldoser …