Physics-informed deep neural network reconstruction framework for propagation-based x ray phase-contrast computed tomography with sparse-view projections

F Li, Y Zhao, S Han, D Ji, Y Li, M Zheng, W Lv, J Jian… - Optics Letters, 2022 - opg.optica.org
Propagation-based phase contrast computed tomography (PB-PCCT) is an effective
technique for three-dimensional visualization of weakly attenuating samples. However, the …

Dual-path deep learning reconstruction framework for propagation-based X-ray phase–contrast computed tomography with sparse-view projections

S Han, Y Zhao, F Li, D Ji, Y Li, M Zheng, W Lv, X Xin… - Optics Letters, 2021 - opg.optica.org
Propagation-based X-ray phase–contrast computed tomography (PB-PCCT) can serve as
an effective tool for studying organ function and pathologies. However, it usually suffers from …

[HTML][HTML] Learning from Projection to Reconstruction: A Deep Learning Reconstruction Framework for Sparse-View Phase Contrast Computed Tomography via Dual …

C Zhang, J Fu, G Zhao - Applied Sciences, 2023 - mdpi.com
Phase contrast computed tomography (PCCT) provides an effective non-destructive testing
tool for weak absorption objects. Limited by the phase stepping principle and radiation dose …

Improving spatial resolution with an edge-enhancement model for low-dose propagation-based X-ray phase-contrast computed tomography

L Zhang, H Zhao, Z Zhou, M Jia, L Zhang, J Jiang… - Optics …, 2021 - opg.optica.org
Propagation-based X-ray phase-contrast computed tomography (PB-PCCT) has been
increasingly popular for distinguishing low contrast tissues. Phase retrieval is an important …

Unsupervised/supervised hybrid deep learning framework for low dose phase contrast imaging

G Zhu, J Fu, F Zhao - Journal of physics: conference series, 2020 - iopscience.iop.org
X-ray phase contrast computed tomography (PCCT) has better imaging quality than
conventional attenuation X-ray CT and has demonstrated promising application prospects in …

A deep learning reconstruction framework for low dose phase contrast computed tomography via inter-contrast enhancement

C Zhang, G Zhu, J Fu, G Zhao - Measurement, 2023 - Elsevier
Phase contrast computed tomography (PCCT) offers excellent imaging contrast on soft
tissue while it generate absorption, phase and dark-field contrast tomographic images. It has …

A deep learning reconstruction framework for differential phase-contrast computed tomography with incomplete data

J Fu, J Dong, F Zhao - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
Differential phase-contrast computed tomography (DPC-CT) is a powerful analysis tool for
soft-tissue and low-atomic-number samples. Limited by the implementation conditions, DPC …

Simultaneous iterative reconstruction method for high resolution x-ray phase-contrast tomography

I Bukreeva, V Asadchikov, A Buzmakov… - … on Machine Vision …, 2020 - spiedigitallibrary.org
Computer vision for biomedical imaging applications is fast developing and at once
demanding field of computer science. In particular, computer vision technique provides …

Enhanced phase retrieval via deep concatenation networks for in-line X-ray phase contrast imaging

Y Wu, L Zhang, S Guo, L Zhang, F Gao, M Jia, Z Zhou - Physica Medica, 2022 - Elsevier
Purpose In-line X-ray phase contrast imaging offers considerable additional information
beyond that acquired from conventional absorption contrast X-ray imaging, showing …

Optimization of reconstructed quality of hard x-ray phase microtomography

H Liu, X Wu, T Xiao - Applied optics, 2015 - opg.optica.org
For applications of hard x-ray propagation-based phase-contrast computed
microtomography (PPCT) in high-resolution biological research, high spatial resolution and …