The use of deep learning methods in low-dose computed tomography image reconstruction: a systematic review

M Zhang, S Gu, Y Shi - Complex & intelligent systems, 2022 - Springer
Conventional reconstruction techniques, such as filtered back projection (FBP) and iterative
reconstruction (IR), which have been utilised widely in the image reconstruction process of …

Sinogram interpolation for sparse-view micro-CT with deep learning neural network

X Dong, S Vekhande, G Cao - Medical Imaging 2019: Physics …, 2019 - spiedigitallibrary.org
In sparse-view Computed Tomography (CT), only a small number of projection images are
taken around the object, and sinogram interpolation method has a significant impact on final …

Generative modeling in sinogram domain for sparse-view CT reconstruction

B Guan, C Yang, L Zhang, S Niu… - … on Radiation and …, 2023 - ieeexplore.ieee.org
The radiation dose in computed tomography (CT) examinations is harmful for patients but
can be significantly reduced by intuitively decreasing the number of projection views …

Sinogram inpainting with generative adversarial networks and shape priors

E Valat, K Farrahi, T Blumensath - Tomography, 2023 - mdpi.com
X-ray computed tomography is a widely used, non-destructive imaging technique that
computes cross-sectional images of an object from a set of X-ray absorption profiles (the so …

Theoretical Study of the NO Reduction Mechanism on Biochar Surfaces Modified by Li and Na Single Adsorption and OH Co-Adsorption

Q Su, F Ren, M Lu, J Zhao, X Zhu, T Shen, Y Shen… - Molecules, 2024 - mdpi.com
Theoretical and experimental investigations have shown that biochar, following KOH
activation, enhances the efficiency of NO removal. Similarly, NaOH activation also improves …

[PDF][PDF] Sinogram Inpainting with Generative Adversarial Networks and Shape Priors. Tomography 2023, 9, 1137–1152

E Valat, K Farrahi, T Blumensath - 2023 - academia.edu
X-ray computed tomography is a widely used, non-destructive imaging technique that
computes cross-sectional images of an object from a set of X-ray absorption profiles (the so …

Deep Learning Neural Network-based Sinogram Interpolation for Sparse-View CT Reconstruction

SS Vekhande - 2019 - vtechworks.lib.vt.edu
Computed Tomography (CT) finds applications across domains like medical diagnosis,
security screening, and scientific research. In medical imaging, CT allows physicians to …

Image diagnosis support apparatus, method, and program

Y Hasegawa - US Patent 10,922,786, 2021 - Google Patents
An interpolation unit generates an interpolation image from an original image. An index
value calculation unit calculates an index value indicating the feature of a pixel position in a …