Phase recognition in contrast‐enhanced CT scans based on deep learning and random sampling

BT Dao, TV Nguyen, HH Pham, HQ Nguyen - Medical Physics, 2022 - Wiley Online Library
Purpose A fully automated system for interpreting abdominal computed tomography (CT)
scans with multiple phases of contrast enhancement requires an accurate classification of …

[HTML][HTML] A deep learning reconstruction framework for X-ray computed tomography with incomplete data

J Dong, J Fu, Z He - PloS one, 2019 - journals.plos.org
As a powerful imaging tool, X-ray computed tomography (CT) allows us to investigate the
inner structures of specimens in a quantitative and nondestructive way. Limited by the …

Fast iterative reconstruction of differential phase contrast X-ray tomograms

M Nilchian, C Vonesch, P Modregger… - Optics express, 2013 - opg.optica.org
Differential phase-contrast is a recent technique in the context of X-ray imaging. In order to
reduce the specimen's exposure time, we propose a new iterative algorithm that can achieve …

Region-of-interest tomography for grating-based x-ray differential phase-contrast imaging

F Pfeiffer, C David, O Bunk, T Donath, M Bech… - Physical review …, 2008 - APS
We report numerical and experimental results demonstrating accurate region-of-interest
computed tomography (CT) reconstruction based on differential phase-contrast projection …

Real-time X-ray phase-contrast imaging using SPINNet—a speckle-based phase-contrast imaging neural network

Z Qiao, X Shi, Y Yao, MJ Wojcik, L Rebuffi… - Optica, 2022 - opg.optica.org
X-ray phase-contrast imaging has become indispensable for visualizing samples with low
absorption contrast. In this regard, speckle-based techniques have shown significant …

Self‐contained deep learning‐based boosting of 4D cone‐beam CT reconstruction

F Madesta, T Sentker, T Gauer, R Werner - Medical physics, 2020 - Wiley Online Library
Purpose Four‐dimensional cone‐beam computed tomography (4D CBCT) imaging has
been suggested as a solution to account for interfraction motion variability of moving targets …

DeepPhase: learning phase contrast signal from dual energy X-ray absorption images

R Luo, Y Ge, Z Hu, D Liang, ZC Li - Displays, 2021 - Elsevier
Due to the high hardware complexity and low dose efficiency of existing X-ray phase
contrast imaging, the biomedical and clinical applications of this novel imaging technique …

Characterization of imaging performance in differential phase contrast CT compared with the conventional CT—Noise power spectrum NPS(k)

X Tang, Y Yang, S Tang - Medical physics, 2011 - Wiley Online Library
Purpose: The differential phase contrast CT is emerging as a new technology to improve the
contrast sensitivity of the conventional CT. Via system analysis, modeling, and computer …

[HTML][HTML] An algebraic iterative reconstruction technique for differential X-ray phase-contrast computed tomography

J Fu, S Schleede, R Tan, L Chen, M Bech… - … für medizinische Physik, 2013 - Elsevier
Iterative reconstruction has a wide spectrum of proven advantages in the field of
conventional X-ray absorption-based computed tomography (CT). In this paper, we report on …

Dual energy differential phase contrast CT (DE-DPC-CT) imaging

X Ji, R Zhang, K Li, GH Chen - IEEE transactions on medical …, 2020 - ieeexplore.ieee.org
When more than two elemental materials are present in a given object, material
quantification may not be robust and accurate when the routine two-material decomposition …