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Grating-based x-ray dark-field CT for lung cancer diagnosis in mice
BackgroundThe low absorption of x-rays in lung tissue and the poor resolution of conventional computed tomography (CT) limits its use to detect lung...
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Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia
BackgroundCurrently, alternative medical imaging methods for the assessment of pulmonary involvement in patients infected with COVID-19 are sought...
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Dark-field chest x-ray imaging: first experience in patients with alpha1-antitrypsin deficiency
BackgroundSpirometry and conventional chest x-ray have limitations in investigating early emphysema, while computed tomography, the reference imaging...
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X-ray dark-field chest radiography: a reader study to evaluate the diagnostic quality of attenuation chest X-rays from a dual-contrast scanning prototype
ObjectivesTo compare the visibility of anatomical structures and overall quality of the attenuation images obtained with a dark-field X-ray...
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Whole-body x-ray dark-field radiography of a human cadaver
BackgroundGrating-based x-ray dark-field and phase-contrast imaging allow extracting information about refraction and small-angle scatter, beyond...
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X-ray Dark-Field Imaging (XDFI)—a Promising Tool for 3D Virtual Histopathology
X-ray dark-field imaging (XDFI) utilizing a thin silicon crystal under Laue case enables visualizing three-dimensional (3D) morphological alterations...
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Early detection of radiation-induced lung damage with X-ray dark-field radiography in mice
ObjectiveAssessing the advantage of x-ray dark-field contrast over x-ray transmission contrast in radiography for the detection of develo**...
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Usefulness of X-ray dark-field imaging in the evaluation of local recurrence after nipple-sparing mastectomy
PurposeOur previous study suggests that the cross-sectional morphology of ducts and branching of ducts in the nipple are associated with the presence...
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Dexmedetomidine ameliorates x-ray-induced myocardial injury via alleviating cardiomyocyte apoptosis and autophagy
BackgroundRadiotherapy is a primary local treatment for tumors, yet it may lead to complications such as radiation-induced heart disease (RIHD)....
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Subcutaneous Low-Density Foreign Bodies Detection via Grating-Based Multimodal X-ray Imaging
Detecting low-density foreign bodies within soft tissues still stands for a serious challenge. Grating-based multimodal X-ray imaging typically has...
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HEX: a safe research framework for hybrid EMT X-ray navigation
PurposeNavigating with continuous X-ray provides visual guidance, but exposes both surgeon and patient to ionizing radiation, which is associated...
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Chondrosarcoma evaluation using hematein-based x-ray staining and high-resolution 3D micro-CT: a feasibility study
BackgroundChondrosarcomas are rare malignant bone tumors diagnosed by analyzing radiological images and histology of tissue biopsies and evaluating...
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COVID-19 Severity Prediction from Chest X-ray Images Using an Anatomy-Aware Deep Learning Model
The COVID-19 pandemic has been adversely affecting the patient management systems in hospitals around the world. Radiological imaging, especially...
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Thyroid hormone triiodothyronine does not protect ovarian reserve from DNA damage induced by X-ray and cisplatin
PurposeCancer therapy can induce premature ovarian insufficiency, necessitating methods for preserving fertility in female cancer patients. However,...
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COV-MobNets: a mobile networks ensemble model for diagnosis of COVID-19 based on chest X-ray images
BackgroundThe medical profession is facing an excessive workload, which has led to the development of various Computer-Aided Diagnosis (CAD) systems...
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Comparison of patient setup accuracy for optical surface-guided and X-ray-guided imaging with respect to the impact on intracranial stereotactic radiotherapy
PurposeThe objective of this work is to estimate the patient positioning accuracy of a surface-guided radiation therapy (SGRT) system using an...
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Detection of COVID-19 using edge devices by a light-weight convolutional neural network from chest X-ray images
Deep learning is a highly significant technology in clinical treatment and diagnostics nowadays. Convolutional Neural Network (CNN) is a new idea in...
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X-ray multiscale 3D neuroimaging to quantify cellular aging and neurodegeneration postmortem in a model of Alzheimer’s disease
PurposeModern neuroimaging lacks the tools necessary for whole-brain, anatomically dense neuronal damage screening. An ideal approach would include...
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Imaging features in post-mortem x-ray dark-field chest radiographs and correlation with conventional x-ray and CT
BackgroundAlthough x-ray dark-field imaging has been intensively investigated for lung imaging in different animal models, there is very limited data...
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Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images
BackgroundCorona Virus Disease 2019 (COVID-19) first appeared in December 2019, and spread rapidly around the world. COVID-19 is a pneumonia caused...
