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 …
soft-tissue and low-atomic-number samples. Limited by the implementation conditions, DPC …
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 …
tool for weak absorption objects. Limited by the phase stepping principle and radiation dose …
Penalized maximum likelihood reconstruction for x‐ray differential phase‐contrast tomography
B Brendel, M von Teuffenbach, PB Noël… - Medical …, 2016 - Wiley Online Library
Purpose: The purpose of this work is to propose a cost function with regularization to
iteratively reconstruct attenuation, phase, and scatter images simultaneously from differential …
iteratively reconstruct attenuation, phase, and scatter images simultaneously from differential …
A reconstruction method for cone-beam differential x-ray phase-contrast computed tomography
J Fu, A Velroyen, R Tan, J Zhang, L Chen, A Tapfer… - Optics …, 2012 - opg.optica.org
Most existing differential phase-contrast computed tomography (DPC-CT) approaches are
based on three kinds of scanning geometries, described by parallel-beam, fan-beam and …
based on three kinds of scanning geometries, described by parallel-beam, fan-beam and …
Fast 3D reconstruction method for differential phase contrast X-ray CT
We present a fast algorithm for fully 3D regularized X-ray tomography reconstruction for both
traditional and differential phase contrast measurements. In many applications, it is critical to …
traditional and differential phase contrast measurements. In many applications, it is critical to …
Enhancing the X-ray differential phase contrast image quality with deep learning technique
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 …
convolutional neural network (CNN) to improve the image quality of a grating-based X-ray …
A local region of interest image reconstruction via filtered backprojection for fan-beam differential phase-contrast computed tomography
Z Qi, GH Chen - Physics in Medicine & Biology, 2007 - iopscience.iop.org
Recently, x-ray differential phase contrast computed tomography (DPC-CT) has been
experimentally implemented using a conventional source combined with several gratings …
experimentally implemented using a conventional source combined with several gratings …
Analysis and accurate reconstruction of incomplete data in X-ray differential phase-contrast computed tomography
J Fu, R Tan, L Chen - Analytical and bioanalytical chemistry, 2014 - Springer
X-ray differential phase-contrast computed tomography (DPC-CT) is a powerful physical and
biochemical analysis tool. In practical applications, there are often challenges for DPC-CT …
biochemical analysis tool. In practical applications, there are often challenges for DPC-CT …
A reconstruction method for equidistant fan beam differential phase contrast computed tomography
We report a reconstruction method, called a back-projection filtered (BPF) algorithm, for fan
beam differential phase contrast computed tomography (DPC-CT) with equidistant …
beam differential phase contrast computed tomography (DPC-CT) with equidistant …
Statistical iterative reconstruction algorithm for X-ray phase-contrast CT
Grating-based phase-contrast computed tomography (PCCT) is a promising imaging tool on
the horizon for pre-clinical and clinical applications. Until now PCCT has been plagued by …
the horizon for pre-clinical and clinical applications. Until now PCCT has been plagued by …