[HTML][HTML] Signal retrieval from non-sinusoidal intensity modulations in X-ray and neutron interferometry using piecewise-defined polynomial function

S Pinzek, A Gustschin, T Neuwirth, A Backs… - Journal of …, 2021 - mdpi.com
… Grating-based phase-contrast and dark-field imaging systems create intensity modulations
… Corporation, Irvine, US) has a typical bi-directional repeatability of 0.2 μ m according to the …

X-ray Interferometry Using a Modulated Phase Grating: Theory and Experiments

H Meyer, J Dey, S Carr, K Ham, LG Butler… - arXiv preprint arXiv …, 2024 - arxiv.org
X-ray grating interferometry allows for the simultaneous acquisition of attenuation,
differentialphase contrast, and dark-field images, resulting from X-ray attenuation, refraction, and …

[HTML][HTML] On the quantification of sample microstructure using single-exposure x-ray dark-field imaging via a single-grid setup

YY How, DM Paganin, KS Morgan - Scientific Reports, 2023 - nature.com
… Finally, we explore the effects of propagation-based phase contrast effects overlying the …
of research animals or mammography, and the effective pixel size of the setup was 9.8 µm. …

The theory of x-ray and neutron interferometry using a modulated phase grating

HC Meyer - 2024 - repository.lsu.edu
phase contrast, and dark-field images, which highlight X-ray or neutron absorption, refraction,
and small angle scatter, respectively. This interferometry system uses a single grating, with …

[PDF][PDF] SPECKLE-BASED X-RAY DARK-FIELD IMAGING USING A HYPERSPECTRAL DETECTOR

S Claeys - 2022 - libstore.ugent.be
… way of using X-ray attenuation-contrast, there exist other X-rayPhasecontrast and dark-field
imaging are two such X-ray … has been proven valuable in mammography, the diagnosis of …

Single-exposure x-ray dark-field imaging: quantifying sample microstructure using a single-grid setup

YY How, DM Paganin, KS Morgan - arXiv preprint arXiv:2212.02253, 2022 - arxiv.org
… In recent decades, advanced x-ray imaging techniques known as phase contrast x-ray
imaging (PCXI) have been developed, to enhance the image contrast for samples made up of …

Phase Difference Network for Efficient Differentiation of Hepatic Tumors with Multi-Phase CT

Y Wu, G Chen, Z Feng, H Cui, F Rao… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
… 0.8579 using bi-directional difference … of pneumonia in low contrast chest x-ray images,”
in 2020 42nd annual … methods for lesion detection on mammography images: a comparative …

[图书][B] Text Mining with Deep Learning for Secondary Use In Radiology

W Lau - 2021 - search.proquest.com
… of women with abnormal mammograms were diagnosed with … ] and entities were extracted
by bi-directional Long-Short term … dissertation is the MIMIC Chest X-ray (MIMICCXR) dataset […

Deep learning based multimodal biomedical data fusion: An overview and comparative review

J Duan, J Xiong, Y Li, W Ding - Information Fusion, 2024 - Elsevier
… 2014 Mammography, X-rays, US, CT, MRI, PET, SPECT Dicom … X-rayX-ray images
taken from different angles to create cross-sectional views High spatial resolution Radiation …

U-Net based deep convolutional neural network models for liver segmentation from CT scan images

MAHM Khattab - 2021 - eprints.nottingham.ac.uk
Liver segmentation is a critical task for diagnosis, treatment and follow-up processes of liver
cancer. Computed Tomography (CT) scans are the common medical image modality for the …