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 …

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 …

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

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 …

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 …

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 …

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 …

Iterative phase contrast CT reconstruction with novel tomographic operator and data-driven prior

S van Gogh, S Mukherjee, J Xu, Z Wang, M Rawlik… - Plos one, 2022 - journals.plos.org
Breast cancer remains the most prevalent malignancy in women in many countries around
the world, thus calling for better imaging technologies to improve screening and diagnosis …

Machine learning assisted interior phase contrast CT

O Oh, G Wang, SW Lee - Developments in X-Ray …, 2019 - spiedigitallibrary.org
Phase-contrast computed tomography (CT) have advantages of analyzing low Z objects
such as polymer and soft tissue. Especially, X-ray grating interferometer CT is a practical …

Enhancing the X-ray differential phase contrast image quality with deep learning technique

Y Ge, P Liu, Y Ni, J Chen, J Yang, T Su… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Objective: The purpose of this work is to investigate the feasibility of using deep
convolutional neural network (CNN) to improve the image quality of a grating-based X-ray …

Denoising Grating-Based Phase-Contrast Computed Tomography with Self-Supervised Deep Learning: A Comparative Study

S Wirtensohn, C Schmid, D Berthe, D John, L Heck… - Authorea …, 2023 - techrxiv.org
To increase the detectability of breast cancer, recent efforts have been made in the field of
grating-based phase-contrast computed tomography, which provides additional information …