European Radiology Experimental
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The European Society of Radiology has expanded its journal family: the new journal European Radiology EXPERIMENTAL will provide a forum for basic scientific discoveries, novel approaches and techniques in experimental settings, as an addition to the clinically relevant research published in European Radiology, and to the educational articles in Insights into Imaging.

European Radiology EXPERIMENTAL is an online gold open access journal, all articles are freely available on our publisher’s portal SpringerOpen.

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Image analysis for radiomics: facts and challenges

by | August 21, 2019 | Blog | 0 Comments

This article sheds light on methods used for extracting high-dimensional data from clinical images – radiomics. The authors explain the standard steps of the radiomics process, discuss the origin of the term, and summarise the major issues in regard to this process....
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DTI in children is influenced by pre-processing and tract selection

by | August 8, 2019 | Blog | 0 Comments

This study compares fractional anisotropy (FA) values derived with DTI analysis approaches, as well as FA values and number of tracts with the clinical motor outcome quantified by the functional independence measure for children (WeeFIM). The authors concluded that...
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MRI automated assessment of muscle fat composition

by | July 26, 2019 | Blog | 0 Comments

Proton-density fat fraction of the paraspinal muscles has become an important surrogate biomarker in patients with intervertebral disc disease, osteoporosis, sarcopenia, and neuromuscular disorders. The authors developed an automatic segmentation algorithm of the...
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Emphysema quantification by CT

by | July 18, 2019 | Blog | 0 Comments

To determine the influence of dose reduction and reconstruction methods on CT emphysema quantification, CT scans were performed on humans at routine radiation dose and at 45%, 60%, and 75% reduced radiation dose. Images were then reconstructed using filtered back...
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Generative models: an innovation in musculoskeletal radiology?

by | July 11, 2019 | Blog | 0 Comments

New innovative technology, deep learning, is revolutionising many research and industrial fields. Growing interest in generative models inspired the authors to explore their potential in the field of magnetic resonance imaging of the spine. Tests showed that the...
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