[PDF][PDF] Sparse-view synchrotron X-ray tomographic reconstruction with learning-based sinogram synthesis
CC Cheng, MH Chiang, CH Yeh, TT Lee… - Journal of …, 2023 - journals.iucr.org
Synchrotron radiation can be used as a light source in X-ray microscopy to acquire a high-
resolution image of a microscale object for tomography. However, numerous projections …
resolution image of a microscale object for tomography. However, numerous projections …
[HTML][HTML] Low-dose x-ray tomography through a deep convolutional neural network
Synchrotron-based X-ray tomography offers the potential for rapid large-scale
reconstructions of the interiors of materials and biological tissue at fine resolution. However …
reconstructions of the interiors of materials and biological tissue at fine resolution. However …
Comparison of projection domain, image domain, and comprehensive deep learning for sparse-view X-ray CT image reconstruction
K Liang, H Yang, Y Xing - arXiv preprint arXiv:1804.04289, 2018 - arxiv.org
X-ray Computed Tomography (CT) imaging has been widely used in clinical diagnosis, non-
destructive examination, and public safety inspection. Sparse-view (sparse view) CT has …
destructive examination, and public safety inspection. Sparse-view (sparse view) CT has …
[PDF][PDF] A self-supervised approach to reconstruction in sparse x-ray computed tomography
R Mendoza, M Nguyen, JW Zhu… - arXiv preprint arXiv …, 2022 - ganapati.swarthmore.edu
Computed tomography has propelled scientific advances in fields from biology to materials
science. This technology allows for the elucidation of 3-dimensional internal structure by the …
science. This technology allows for the elucidation of 3-dimensional internal structure by the …
Deep learning-based low-dose tomography reconstruction with hybrid-dose measurements
Synchrotron-based X-ray computed tomography is widely used for investigating inner
structures of specimens at high spatial resolutions. However, potential beam damage to …
structures of specimens at high spatial resolutions. However, potential beam damage to …
TomoGAN: low-dose synchrotron x-ray tomography with generative adversarial networks: discussion
Synchrotron-based x-ray tomography is a noninvasive imaging technique that allows for
reconstructing the internal structure of materials at high spatial resolutions from tens of …
reconstructing the internal structure of materials at high spatial resolutions from tens of …
A wavelet gradient sparsity based algorithm for reconstruction of reduced-view tomography datasets obtained with a monochromatic synchrotron-based X-ray source
High-resolution synchrotron computed tomography (CT) is very helpful in the diagnosis and
monitor of chronic diseases including osteoporosis. Osteoporosis is characterized by low …
monitor of chronic diseases including osteoporosis. Osteoporosis is characterized by low …
Joint reconstruction algorithm: combining synchrotron radiation with conventional X-ray computed tomography for improved imaging
P Cao, S Zhang, J Zhao, J Sun - Optics Express, 2024 - opg.optica.org
Synchrotron radiation (SR) is an excellent light source for micro-CT (micro-computed
tomography) applications due to its monochromaticity and high brightness, which are crucial …
tomography) applications due to its monochromaticity and high brightness, which are crucial …
[HTML][HTML] Sparse-View Artifact Correction of High-Pixel-Number Synchrotron Radiation CT
M Huang, G Li, R Sun, J Zhang, Z Wang, Y Wang… - Applied Sciences, 2024 - mdpi.com
High-pixel-number synchrotron radiation computed tomography (CT) has the advantages of
high sensitivity, high resolution, and a large field of view. It has been widely used in …
high sensitivity, high resolution, and a large field of view. It has been widely used in …
Sparse2noise: low-dose synchrotron x-ray tomography without high-quality reference data
Background Synchrotron radiation computed tomography (SR-CT) holds promise for high-
resolution in vivo imaging. Notably, the reconstruction of SR-CT images necessitates a large …
resolution in vivo imaging. Notably, the reconstruction of SR-CT images necessitates a large …