Results 31 to 40 of about 79,713 (292)

A Microwave Polarimeter Demonstrator for Astronomy with Near-Infra-Red Up-Conversion for Optical Correlation and Detection

open access: yesSensors, 2019
This paper presents a 10 to 20 GHz bandwidth microwave polarimeter demonstrator, based on the implementation of a near-infra-red frequency up-conversion stage that allows both the optical correlation, when operating as a synthesized-image interferometer,
Francisco J. Casas   +6 more
doaj   +1 more source

How does DICOM support big data management? Investigating its use in medical imaging community

open access: yesInsights into Imaging, 2021
The diagnostic imaging field is experiencing considerable growth, followed by increasing production of massive amounts of data. The lack of standardization and privacy concerns are considered the main barriers to big data capitalization.
Marco Aiello   +5 more
doaj   +1 more source

Impact of use of optical surface imaging on initial patient setup for stereotactic body radiotherapy treatments [PDF]

open access: yes, 2019
Purpose To evaluate the effectiveness of surface image guidance (SG) for pre‐imaging setup of stereotactic body radiotherapy (SBRT) patients, and to investigate the impact of SG reference surface selection on this process.
Al‐Hallaq HA   +3 more
core   +2 more sources

Moddicom: a Complete and Easily Accessible Library for Prognostic Evaluations Relying on Image Features [PDF]

open access: yes, 2015
Decision Support Systems (DSSs) are increasingly exploited in the area of prognostic evaluations. For predicting the effect of therapies on patients, the trend is now to use image features, i.e.
Alitto, Anna Rita   +7 more
core   +1 more source

A service for monitoring the quality of intraoperative cone beam CT images

open access: yesCurrent Directions in Biomedical Engineering, 2016
In recent years, operating rooms (ORs) have transformed into integrated operating rooms, where devices are able to communicate, exchange data, or even steer and control each other. However, image data processing is commonly done by dedicated workstations
Heckel Frank   +5 more
doaj   +1 more source

Artificial intelligence in traumatology and orthopedics. Reality, fantasy or false hopes? [PDF]

open access: yesTravmatologiâ i Ortopediâ Rossii
Background. In recent years, the topic of artificial intelligence (AI) in medicine has been actively discussed not just as a promising solution but the one that can help to improve some results. A significant growth of interest in AI systems all over the
Andrei P. Sereda   +2 more
doaj   +1 more source

Polymerization shrinkage-stress of short fiber-reinforced composite

open access: yesFogorvosi Szemle, 2022
Background: Polymerization shrinkage-related stress of dental composite materials is a clinically relevant problem. In the presence of proper adhesion, shrinkage produces stress in the remaining tooth structure.
Viktória Néma   +4 more
doaj   +1 more source

Non-vascular interventional procedures: effective dose to patient and equivalent dose to abdominal organs by means of dicom images and Monte Carlo simulation [PDF]

open access: yes, 2015
This study evaluates X-ray exposure in patient undergoing abdominal extra-vascular interventional procedures by means of Digital Imaging and COmmunications in Medicine (DICOM) image headers and Monte Carlo simulation.
Cannavale, Alessandro   +9 more
core   +1 more source

Teaching DICOM by Problem Solving [PDF]

open access: yesJournal of Digital Imaging, 2012
The Digital Imaging and Communications in Medicine (DICOM) is the standard for encoding and communicating medical imaging information. It is used in radiology as well as in many other imaging domains such as ophthalmology, dentistry, and pathology. DICOM information objects are used to encode medical images or information about the images.
Rita Noumeir, Jean François Pambrun
openaire   +2 more sources

Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. [PDF]

open access: yes, 2016
Radiomics is to provide quantitative descriptors of normal and abnormal tissues during classification and prediction tasks in radiology and oncology. Quantitative Imaging Network members are developing radiomic "feature" sets to characterize tumors, in ...
Balagurunathan, Yoganand   +19 more
core   +2 more sources

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