Sparse-view CT reconstruction based on multi-level wavelet convolution neural network

M Lee, H Kim, HJ Kim - Physica Medica, 2020 - Elsevier
Sparse-view computed tomography (CT) is a recent approach to reducing the radiation dose
in patients and speeding up the data acquisition. Consequently, sparse-view CT has been of …

A residual dense network assisted sparse view reconstruction for breast computed tomography

Z Fu, HW Tseng, S Vedantham, A Karellas, A Bilgin - scientific reports, 2020 - nature.com
To develop and investigate a deep learning approach that uses sparse-view acquisition in
dedicated breast computed tomography for radiation dose reduction, we propose a …

A novel low-dose dual-energy imaging method for a fast-rotating gantry-type CT scanner

S Cho, S Lee, J Lee, D Lee, H Kim… - … on Medical Imaging, 2020 - ieeexplore.ieee.org
CT scan by use of a beam-filter placed between the x-ray source and the patient allows a
single-scan low-dose dual-energy imaging with a minimal hardware modification to the …

Low-dose and sparse sampling MDCT-based femoral bone strength prediction using finite element analysis

NM Rayudu, DP Anitha, K Mei, F Zoffl, FK Kopp… - Archives of …, 2020 - Springer
This study aims to evaluate the impact of dose reduction through tube current and sparse
sampling on multi-detector computed tomography (MDCT)-based femoral bone strength …

[HTML][HTML] CTPA with a conventional CT at 100 kVp vs. a spectral-detector CT at 120 kVp: Comparison of radiation exposure, diagnostic performance and image quality

AP Sauter, N Shapira, FK Kopp, J Aichele… - European Journal of …, 2020 - Elsevier
Purpose To compare CT pulmonary angiographies (CTPAs) as well as phantom scans
obtained at 100 kVp with a conventional CT (C-CT) to virtual monochromatic images (VMI) …

Enhancement of soft-tissue contrast in cone-beam CT using an anti-scatter grid with a sparse sampling approach

S Cho, S Lim, C Kim, S Wi, T Kwon, WS Youn, SH Lee… - Physica Medica, 2020 - Elsevier
Purpose Anti-scatter grids suppress the scatter substantially thus improving image contrast
in radiography. However, its active use in cone-beam CT for the purpose of improving …

Sparse-sampling CT sinogram completion using generative adversarial networks

J Liu, J Li - 2020 13th International Congress on Image and …, 2020 - ieeexplore.ieee.org
Sparse-sampling for low-dose Computed tomography (CT) is currently a subject of extensive
investigations due to its potential to reduce the radiation dose. However, severe streak …

Finite element analysis-based vertebral bone strength prediction using MDCT data: how low can we go?

NM Rayudu, K Subburaj, K Mei… - Frontiers in …, 2020 - frontiersin.org
Objective: To study the impact of dose reduction in MDCT images through tube current
reduction or sparse sampling on the vertebral bone strength prediction using finite element …

Diagnostic evaluation strategies for novel CT developments

F Kopp - 2020 - mediatum.ub.tum.de
Advancements of existing imaging methods and the development of new imaging
technologies require strategies for their clinical evaluation. Besides the technical …