Results 41 to 50 of about 152,315 (333)

Unintended and accidental medical radiation exposures in radiology: guidelines on investigation and prevention [PDF]

open access: yes, 2017
This paper sets out guidelines for managing radiation exposure incidents involving patients in diagnostic and interventional radiology. The work is based on collation of experiences from representatives of international and national organizations for ...
Damilakis, John.   +8 more
core   +1 more source

A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data [PDF]

open access: yesarXiv, 2021
With the advent of deep learning algorithms, fully automated radiological image analysis is within reach. In spine imaging, several atlas- and shape-based as well as deep learning segmentation algorithms have been proposed, allowing for subsequent automated analysis of morphology and pathology.
arxiv  

Interventional radiology of glands [PDF]

open access: yesGland Surgery, 2018
Interventional radiology (IR) is the operative part of radiology providing minimally invasive image-guided diagnosis and treatment of disease. Although the range of procedures performed by interventional radiologists is broad, the unifying concept behind these procedures is the application of image guidance and minimally invasive techniques in order to
openaire   +3 more sources

Cross-sectional study of the provision of interventional oncology services in the UK [PDF]

open access: yes, 2017
Objective: To map out the current provision of interventional oncology (IO) services in the UK. Design: Cross-sectional multicentre study. Setting: All National Health Service (NHS) trusts in England and Scottish, Welsh and Northern Ireland health ...
Alcorn, Des J.   +9 more
core   +1 more source

Artificial Intelligence, Augmented Reality, and Virtual Reality Advances and Applications in Interventional Radiology

open access: yesDiagnostics, 2023
Artificial intelligence (AI) uses computer algorithms to process and interpret data as well as perform tasks, while continuously redefining itself. Machine learning, a subset of AI, is based on reverse training in which evaluation and extraction of data ...
Elizabeth von Ende   +3 more
doaj   +1 more source

Application of Time Separation Technique to Enhance C-arm CT Dynamic Liver Perfusion Imaging [PDF]

open access: yesPublished in Proceedings of the 16th Virtual International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine 2021 arXiv:2110.04143, 2021
Perfusion imaging is an interesting new modality for evaluation and assessment of the liver cancer treatment. C-Arm CT provides a possibility to perform perfusion imaging scans intra-operatively for even faster evaluation. The slow speed of the C-Arm CT rotation and the presence of the noise, however, have an impact on the reconstruction and therefore ...
arxiv  

A review of artificial intelligence in brachytherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen   +4 more
wiley   +1 more source

Intra‐arterial renal infusion of autologous mesenchymal stem cells for treatment of chronic kidney disease in cats: Phase I clinical trial

open access: yesJournal of Veterinary Internal Medicine, 2019
Background There are no known treatments that halt or reverse chronic kidney disease (CKD) in cats. In rodent models, stem cell treatment has been associated with improvement in renal function parameters, especially when stem cells were delivered intra ...
Abigail L. Thomson   +3 more
doaj   +1 more source

Professional Development Needs of Non-Radiology Nurses: An Exploration of Nurses’ Experiences Caring for Interventional Radiology Patients [PDF]

open access: yes, 2021
Nursing in interventional radiology is diverse and multifaceted. This area of specialty nursing has not yet been acknowledged as such or embraced in Canada.
Carley, Andra   +4 more
core   +1 more source

Stereotactic radiotherapy for metastatic brain tumors: A comparative analysis of dose distributions among VMAT, Helical TomoTherapy, CyberKnife, Gamma Knife, and ZAP‐X

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki   +9 more
wiley   +1 more source

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